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Design of a Two-dimensional Recursive Filter Using the Bees Algorithm 认领 引用 被引量：1
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作者 D.T.Pham Ebubekir Koc 《International Journal of Automation and computing》 2010年第3期399-402,共4页
This paper presents the first application of the bees algorithm to the optimisation of parameters of a two-dimensional （2D） recursive digital filter. The algorithm employs a search technique inspired by the foraging... This paper presents the first application of the bees algorithm to the optimisation of parameters of a two-dimensional （2D） recursive digital filter. The algorithm employs a search technique inspired by the foraging behaviour of honey bees. The results obtained show clear improvement compared to those produced by the widely adopted genetic algorithm （GA）. 展开更多
关键词 Bees algorithm swarm intelligence optimisation two-dimensional digital filter design.
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基于无人机LiDAR和改进Otsu算法的玉米地边界识别方法研究 认领 引用
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作者 王果 王成 +2 位作者 薛帅栋 林鑫林 文栋 《激光技术》 CAS CSCD 北大核心 2026年第1期93-98,共6页
为了高效、自动化地获取大田玉米地边界范围,利用无人机激光雷达(LiDAR)获取高密度点云,经过点云滤波和高程归一化,对最大类间方差(Otsu)算法进行改进,并结合形态学开运算和闭运算以及Canny算子进行检测,采用一种基于无人机LiDAR和改进... 为了高效、自动化地获取大田玉米地边界范围,利用无人机激光雷达(LiDAR)获取高密度点云,经过点云滤波和高程归一化,对最大类间方差(Otsu)算法进行改进,并结合形态学开运算和闭运算以及Canny算子进行检测,采用一种基于无人机LiDAR和改进的Otsu算法对大田环境下的玉米地边界进行识别,选取一个果园研究区域开展了试验验证。结果表明,基于无人机LiDAR和改进的Otsu算法能迭代出最优的玉米地识别阈值,经边缘检测后可识别出大田环境下玉米地边界,通过试验区的正射影像图取样验证,该方法对大田玉米地边界识别精确,验证了其有效性。该研究在大田玉米地边界识别、作物估产以及智慧农业研究领域具有良好的工程应用参考价值。 展开更多
关键词 图像处理 无人机激光雷达 改进的Otsu算法 玉米地边界 自动识别
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A Two-dimensional Genetic Algorithm Based on the Eno-Haar Wavelet Transform 认领 引用
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作者 宋锦萍 赵晨萍 李登峰 《Chinese Quarterly Journal of Mathematics》 北大核心 2007年第3期377-383,共7页
A two-dimensional genetic algorithm of wavelet coefficient is presented by using the ENO wavelet transform and the decomposed characterization of the two-dimensional Haar wavelet. And simulated by the ENO interpolatio... A two-dimensional genetic algorithm of wavelet coefficient is presented by using the ENO wavelet transform and the decomposed characterization of the two-dimensional Haar wavelet. And simulated by the ENO interpolation the article shows the affectivity and the superiority of this algorithm. 展开更多
关键词 wavelet transform ENO-Haar wavelet transform two-dimensional genetic algorithm
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多方向梯度与Otsu自适应阈值实时图像边缘检测算法研究 认领 引用
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作者 张彩珍 李宗智 《兰州交通大学学报》 2026年第3期30-38,共9页
针对传统Sobel边缘检测算法算子梯度少并且需要人为设定阈值的问题,导致最终在边缘提取过程中边缘宽度较宽,伪边缘较多,本文提出一种八方向梯度Sobel算子结合Otsu自适应阈值的边缘检测算法,通过增加梯度方向提高了算法对复杂纹理的识别... 针对传统Sobel边缘检测算法算子梯度少并且需要人为设定阈值的问题,导致最终在边缘提取过程中边缘宽度较宽,伪边缘较多,本文提出一种八方向梯度Sobel算子结合Otsu自适应阈值的边缘检测算法,通过增加梯度方向提高了算法对复杂纹理的识别能力,同时使用Otsu算法生成的阈值作为二值化处理的阈值。首先在Matlab与Modelsim平台上检验算法的正确性和可行性,实验结果表明这种改进方式能够提高边缘的检测精度,对比传统的Sobel算子伪边缘率降低了8%—26%,同时在不同噪声水平下保持较稳定的PSNR值(低噪声条件下约7.45 dB,噪声StdDev为25时约4.48 dB)最后将改进后的算法在搭建的Ov5640摄像头采集FPGA实时处理的平台上实现,单帧处理时间仅15.73 ms,相比Matlab软件实现的390 ms,性能提升约24.8倍,帧率可达63 fps,边缘提取效果明显优于传统方法,输出图像更符合实际边缘信息,显著提升了系统实时性与检测精度,实验表明,该算法在边缘精度和实时性上均显著优于传统方法,输出图像更符合实际边缘信息,验证了其有效性。 展开更多
关键词 FPGA 图像处理 实时边缘检测 Sobel算法 Otsu自适应阈值
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Two-dimensional cross entropy multi-threshold image segmentation based on improved BBO algorithm 认领 引用 被引量：2
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作者 LI Wei HU Xiao-hui WANG Hong-chuang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第1期42-49,共8页
In order to improve the global search ability of biogeography-based optimization(BBO)algorithm in multi-threshold image segmentation,a multi-threshold image segmentation based on improved BBO algorithm is proposed.Whe... In order to improve the global search ability of biogeography-based optimization(BBO)algorithm in multi-threshold image segmentation,a multi-threshold image segmentation based on improved BBO algorithm is proposed.When using BBO algorithm to optimize threshold,firstly,the elitist selection operator is used to retain the optimal set of solutions.Secondly,a migration strategy based on fusion of good solution and pending solution is introduced to reduce premature convergence and invalid migration of traditional migration operations.Thirdly,to reduce the blindness of traditional mutation operations,a mutation operation through binary computation is created.Then,it is applied to the multi-threshold image segmentation of two-dimensional cross entropy.Finally,this method is used to segment the typical image and compared with two-dimensional multi-threshold segmentation based on particle swarm optimization algorithm and the two-dimensional multi-threshold image segmentation based on standard BBO algorithm.The experimental results show that the method has good convergence stability,it can effectively shorten the time of iteration,and the optimization performance is better than the standard BBO algorithm. 展开更多
关键词 two-dimensional cross entropy biogeography-based optimization(BBO)algorithm multi-threshold image segmentation
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HIGH RESOLUTION PARAMETRIC MODELLING FOR TWO-DIMENSIONAL RADAR TARGET USING PRONY ALGORITHM 认领 引用 被引量：2
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作者 Wang Jun 《Journal of Electronics(China)》 2000年第1期38-45,共8页
On the conditions of low-resolution radar, a parametric model for two-dimensional radar target is described here according to the theory of electromagnetic scattering and the geometrical theory of diffraction. A high ... On the conditions of low-resolution radar, a parametric model for two-dimensional radar target is described here according to the theory of electromagnetic scattering and the geometrical theory of diffraction. A high resolution estimation algorithm to extract the model parameters is also developed by building the relation of the scattering model and Prony model. The analysis of Cramer-Rao bound and simulation show that the method here has better statistical performance. The simulated analysis also indicates that the accurate extraction of the diffraction coefficient of scattering center is restricted by signal to noise ratio, radar center frequency and radar bandwidth. 展开更多
关键词 Two-dimensional radar Scattering center attributes Parametric modelling Prony algorithm Resolution
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基于改进麻雀搜索算法的Otsu图像分割 认领 引用
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作者 王红旗 《陇东学院学报》 2026年第2期40-45,共6页
麻雀搜索算法初始种群分布不均,寻优速度低,易陷入局部最优解。为此提出一种多策略融合的改进麻雀搜索算法(Improved Sparrow Search Algorithm,ISSA)。首先,ISSA为每只麻雀增加历史最优位置,提高算法的全局搜索能力;其次,预警者麻雀位... 麻雀搜索算法初始种群分布不均,寻优速度低,易陷入局部最优解。为此提出一种多策略融合的改进麻雀搜索算法(Improved Sparrow Search Algorithm,ISSA)。首先,ISSA为每只麻雀增加历史最优位置,提高算法的全局搜索能力;其次,预警者麻雀位置更新公式引入Lévy飞行,提升算法跳出局部最优能力;最后,设置发现者麻雀和侦察者麻雀占种群的比例随着迭代过程线性变化,提升种群搜索能力和收敛速度。在CEC2022函数测试集上做算法性能对比实验,实验结果表明:ISSA性能优于4种对比算法。将ISSA用于Otsu图像分割中,图像分割效果优化明显。 展开更多
关键词 麻雀搜索算法 Otsu图像分割 收敛速度 灰度图像
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基于改进PSO-OTSU的图像分割算法研究 认领 引用
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作者 吕途 陈一言 +1 位作者 段豪 韩伟 《技术与市场》 2026年第1期13-17,共5页
为解决传统阈值分割方法(最大类间方差法)在图像阈值分割中存在空间和时间复杂度高、实时性差的问题,提出了一种改进惯性权重的粒子群优化(particle swarm optimization,PSO)算法与传统最大类间方差法(OTSU)相结合的图像阈值分割算法。... 为解决传统阈值分割方法(最大类间方差法)在图像阈值分割中存在空间和时间复杂度高、实时性差的问题,提出了一种改进惯性权重的粒子群优化(particle swarm optimization,PSO)算法与传统最大类间方差法(OTSU)相结合的图像阈值分割算法。为了证明提出的方法对图像分割的效果相较于传统OTSU更优,通过MATLAB软件平台搭建仿真模型,将该算法和传统算法对同一组图片进行单阈值和二阈值阈值分割,将二者的分割结果(运行时间、峰值信噪比、平均结构相似性指数)进行对比。结果表明:该方法相较于传统阈值分割方法阈值分割的运行时间更短、峰值信噪比(peak signal-to-noise ratio,PSNR)更大和平均结构相似性指数(mean structural similarity index,MSSIM)值更接近于1。可见,此本文提出的算法相较于传统算法能够更快更优地对图像进行分割,有效解决了传统方法空间和时间复杂度高、实时性差的问题。 展开更多
关键词 最大类间方差法(OTSU) 改进惯性权重 粒子群优化(PSO)算法 峰值信噪比(PSNR) 平均结构相似性指数(MSSIM)
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一种改进二维OTSU的玻璃裁切缺陷快速分割算法 认领 引用
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作者 彭锷 彭向前 《机电工程技术》 2026年第2期19-24,共6页
玻璃裁切缺陷分割是玻璃完整性检测中的关键步骤,尤其在玻璃的缺边缺角、崩边崩角等检测中至关重要。传统的二维OTSU算法计算复杂度较高,难以满足工业生产的实时性需求,并且当遇到复杂边缘轮廓或者特殊缺陷(例如崩边崩角),此算法往往不... 玻璃裁切缺陷分割是玻璃完整性检测中的关键步骤,尤其在玻璃的缺边缺角、崩边崩角等检测中至关重要。传统的二维OTSU算法计算复杂度较高,难以满足工业生产的实时性需求,并且当遇到复杂边缘轮廓或者特殊缺陷(例如崩边崩角),此算法往往不能取得良好的分割效果。提出了一种融合分数阶混合蝙蝠算法与积分图像技术的新方法以改进原有的二维OTSU算法。通过引入分数阶混合蝙蝠算法可以增强算法寻优的能力并有效地减少局部最优解的可能性,进而提高算法对复杂边缘形态及特殊缺陷(例如崩边崩角)的适用性和稳定性。运用积分图像技术大幅简化二值化过程中需反复执行的累加操作,显著降低了计算的复杂度。实验结果表明,相较于基准算法,该算法在1~10 mm玻璃的复杂缺陷分割中实现多维度提升,适应度值平均提高6.21,PSNR提升0.07 dB,运行时间缩短50.6%,并在MSE和SSIM指标上实现显著优化,为玻璃完整性检测提供了更加可靠的技术支持。 展开更多
关键词 二维OTSU 玻璃裁切缺陷分割 分数阶混合蝙蝠算法 积分图像
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基于阈值选取的1D-Otsu与2D-Otsu图像设计分割改进算法研究 认领 引用
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作者 周思宁 《山西师范大学学报（自然科学版）》 2026年第2期7-12,共6页
Otsu作为一种自动选取阈值中较为经典的算法,对其进行改进已经成为了目前研究的一个重要方向.为了解决传统的Otsu算法因需通过求出各类之间的最大方差来确定最佳阈值,导致计算量大、耗时、易出现分割错误等缺点.将一维Otsu扩展到二维,... Otsu作为一种自动选取阈值中较为经典的算法,对其进行改进已经成为了目前研究的一个重要方向.为了解决传统的Otsu算法因需通过求出各类之间的最大方差来确定最佳阈值,导致计算量大、耗时、易出现分割错误等缺点.将一维Otsu扩展到二维,同时考虑各类的内聚性,利用类内绝对差和类间离差之间的比值作为新的评判函数来选取阈值,进而提出2D-Otsu的改进算法.结果表明,与传统一维和二维Otsu算法相比,改进算法在获得更佳效果的同时降低了计算复杂度. 展开更多
关键词 图像分割 阈值选取 Otsu算法 改进
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基于全局Otsu分割算法和二值化的AR巡检视频图像OCR字符识别方法 认领 引用
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作者 左轩 高松 关峻峰 《自动化应用》 2026年第6期68-71,共4页
针对固定灰度阈值影响字符区域分割准确性,难以识别AR巡检视频图像OCR字符问题,现提出基于全局Otsu分割算法和二值化的AR巡检视频图像OCR字符识别方法。基于收集到的AR巡检视频图像,结合OCR技术,首先对图像进行灰度化处理。在全局Otsu... 针对固定灰度阈值影响字符区域分割准确性,难以识别AR巡检视频图像OCR字符问题,现提出基于全局Otsu分割算法和二值化的AR巡检视频图像OCR字符识别方法。基于收集到的AR巡检视频图像,结合OCR技术,首先对图像进行灰度化处理。在全局Otsu分割算法的作用下,随机假设灰度阈值,以划分背景区域和前景区域,计算不同区域的灰度均值和全局灰度均值,定义两个区域之间的类间方差,从而确定最优的灰度阈值。在二值化的作用下,分割出图像的字符区域。基于此,将其作为输入图像,输入到卷积神经网络(CNN)中,提取字符区域的特征图,计算特征图与字符预设库中特征图的匹配度,实现对图像中的字符识别。实验结果表明,该方法在实际应用中能精准识别图像中的字符,且识别结果的字符漏识率仅为3.68%。 展开更多
关键词 全局Otsu分割算法 二值化 AR巡检视频图像 OCR技术 字符识别
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Dynamic threshold for SPWVD parameter estimation based on Otsu algorithm 认领 引用 被引量：10
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作者 Ning Ma Jianxin Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2013年第6期919-924,共6页
Time-frequency-based methods are proven to be effective for parameter estimation of linear frequency modulation （LFM） signals. The smoothed pseudo Winger-Ville distribution （SPWVD） is used for the parameter estima... Time-frequency-based methods are proven to be effective for parameter estimation of linear frequency modulation （LFM） signals. The smoothed pseudo Winger-Ville distribution （SPWVD） is used for the parameter estimation of multi-LFM signals, and a method of the SPWVD binarization by a dynamic threshold based on the Otsu algorithm is proposed. The proposed method is effective in the demand for the estimation of different parameters and the unknown signal-to-noise ratio （SNR） circumstance. The performance of this method is confirmed by numerical simulation. 展开更多
关键词 parameter estimation smoothed pseudo Winger-Ville distribution （SPWVD） dynamic threshold Otsu algorithm
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Research on Defect Detection of Wind Turbine Blades Based on Morphology and Improved Otsu Algorithm Using Infrared Images 认领 引用 被引量：1
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作者 Shuang Kang Yinchao He +1 位作者 Wenwen Li Sen Liu 《Computers, Materials & Continua》 SCIE EI 2024年第10期933-949,共17页
To address the issues of low accuracy and high false positive rate in traditional Otsu algorithm for defect detection on infrared images of wind turbine blades(WTB),this paper proposes a technique that combines morpho... To address the issues of low accuracy and high false positive rate in traditional Otsu algorithm for defect detection on infrared images of wind turbine blades(WTB),this paper proposes a technique that combines morphological image enhancement with an improved Otsu algorithm.First,mathematical morphology’s differential multi-scale white and black top-hat operations are applied to enhance the image.The algorithm employs entropy as the objective function to guide the iteration process of image enhancement,selecting appropriate structural element scales to execute differential multi-scale white and black top-hat transformations,effectively enhancing the detail features of defect regions and improving the contrast between defects and background.Afterwards,grayscale inversion is performed on the enhanced infrared defect image to better adapt to the improved Otsu algorithm.Finally,by introducing a parameter K to adjust the calculation of inter-class variance in the Otsu method,the weight of the target pixels is increased.Combined with the adaptive iterative threshold algorithm,the threshold selection process is further fine-tuned.Experimental results show that compared to traditional Otsu algorithms and other improvements,the proposed method has significant advantages in terms of defect detection accuracy and reducing false positive rates.The average defect detection rate approaches 1,and the average Hausdorff distance decreases to 0.825,indicating strong robustness and accuracy of the method. 展开更多
关键词 Morphological enhancement improved Otsu algorithm infrared image grayscale inversion adaptive iterative thresholding
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Optimal performance design of bat algorithm:An adaptive multi-stage structure 认领 引用 被引量：1
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作者 Helong Yu Jiuman Song +4 位作者 Chengcheng Chen Ali Asghar Heidari Yuntao Ma Huiling Chen Yudong Zhang 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第3期755-814,共60页
The bat algorithm(BA)is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness,which can be used to find the globally opti... The bat algorithm(BA)is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness,which can be used to find the globally optimal solutions for various optimisation problems.Knowing the recent criticises of the originality of equations,the principle of BA is concise and easy to implement,and its mathematical structure can be seen as a hybrid particle swarm with simulated annealing.In this research,the authors focus on the performance optimisation of BA as a solver rather than discussing its originality issues.In terms of operation effect,BA has an acceptable convergence speed.However,due to the low proportion of time used to explore the search space,it is easy to converge prematurely and fall into the local optima.The authors propose an adaptive multi-stage bat algorithm(AMSBA).By tuning the algorithm's focus at three different stages of the search process,AMSBA can achieve a better balance between exploration and exploitation and improve its exploration ability by enhancing its performance in escaping local optima as well as maintaining a certain convergence speed.Therefore,AMSBA can achieve solutions with better quality.A convergence analysis was conducted to demonstrate the global convergence of AMSBA.The authors also perform simulation experiments on 30 benchmark functions from IEEE CEC 2017 as the objective functions and compare AMSBA with some original and improved swarm-based algorithms.The results verify the effectiveness and superiority of AMSBA.AMSBA is also compared with eight representative optimisation algorithms on 10 benchmark functions derived from IEEE CEC 2020,while this experiment is carried out on five different dimensions of the objective functions respectively.A balance and diversity analysis was performed on AMSBA to demonstrate its improvement over the original BA in terms of balance.AMSBA was also applied to the multi-threshold image segmentation of Citrus Macular disease,which is a bacterial infection that causes lesions on citrus trees.The segmentation results were analysed by comparing each comparative algorithm's peak signal-to-noise ratio,structural similarity index and feature similarity index.The results show that the proposed BA-based algorithm has apparent advantages,and it can effectively segment the disease spots from citrus leaves when the segmentation threshold is at a low level.Based on a comprehensive study,the authors think the proposed optimiser has mitigated the main drawbacks of the BA,and it can be utilised as an effective optimisation tool. 展开更多
关键词 bat-inspired algorithm Citrus Macular disease global optimization multi-threshold image segmentation Otsu algorithm
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Vertical two-dimensional non-hydrostatic pressure model with single layer 认领 引用
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作者 康玲 郭晓明 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2013年第6期721-730,共10页
The vertical two-dimensional non-hydrostatic pressure models with multiple layers can make prediction more accurate than those obtained by the hydrostatic pres- sure assumption. However, they are time-consuming and un... The vertical two-dimensional non-hydrostatic pressure models with multiple layers can make prediction more accurate than those obtained by the hydrostatic pres- sure assumption. However, they are time-consuming and unstable, which makes them unsuitable for wider application. In this study, an efficient model with a single layer is developed. Decomposing the pressure into the hydrostatic and dynamic components and integrating the x-momentum equation from the bottom to the free surface can yield a horizontal momentum equation, in which the terms relevant to the dynamic pressure are discretized semi-implicitly. The convective terms in the vertical momentum equation are ignored, and the rest of the equation is approximated with the Keller-box scheme. The velocities expressed as the unknown dynamic pressure are substituted into the continuity equation, resulting in a tri-diagonal linear system solved by the Thomas algorithm. The validation of solitary and sinusoidal waves indicates that the present model can provide comparable results to the models with multiple layers but at much lower computation cost. 展开更多
关键词 vertical two-dimensional model non-hydrostatic pressure single layer,Thomas algorithm wave
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基于改进Otsu和双直方图均衡化的红外图像增强算法 认领 引用 被引量：2
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作者 张弢 陶荣蕊 任帅 《红外技术》 CSCD 北大核心 2025年第12期1548-1558,共11页
由于红外图像增强算法中存在欠增强、过增强、边缘细节增强效果差等缺陷,为在改善红外图像视觉效果、突出图像细节信息的同时避免上述缺陷,本文提出Otsu算法和双区域直方图均衡结合的红外图像的增强算法。首先基于教与学搜索策略和精英... 由于红外图像增强算法中存在欠增强、过增强、边缘细节增强效果差等缺陷,为在改善红外图像视觉效果、突出图像细节信息的同时避免上述缺陷,本文提出Otsu算法和双区域直方图均衡结合的红外图像的增强算法。首先基于教与学搜索策略和精英反向学习策略改进布谷鸟算法,以搜索到图像最优分割阈值。然后基于Otsu算法将红外图像分割为前景区域和背景区域。最后分别对前景区域进行局部直方图均衡化增强,对背景区域使用限制对比度直方图均衡化增强,并将两区域拼接得到增强图像。本文基于FLIR红外数据集进行实验,并与传统直方图均衡、双直方图均衡、限制对比度的自适应直方图均衡和现有基于K-Means算法的双直方图均衡四种算法相比较。实验结果表明,本文算法增强结果在主观上视觉效果更佳,且增强后两幅图像的信息熵、平均梯度、峰值信噪比和空间频率4个性能指标的平均值相较于原图像分别提升了1.2396、2.6046、7.1581和6.3042。最后使用4个基准函数对本文改进布谷鸟搜索算法性能进行检测,对于不同特征的基准函数,本文算法收敛速度与求解精度都有提升。综上,本文算法在红外图像增强领域具有一定优势。 展开更多
关键词 红外图像增强 布谷鸟算法 教与学搜索策略 大津算法 直方图均衡化
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Image Segmentation of Brain MR Images Using Otsu’s Based Hybrid WCMFO Algorithm 认领 引用 被引量：6
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作者 A.Renugambal K.Selva Bhuvaneswari 《Computers, Materials & Continua》 SCIE EI 2020年第8期681-700,共20页
In this study,a novel hybrid Water Cycle Moth-Flame Optimization(WCMFO)algorithm is proposed for multilevel thresholding brain image segmentation in Magnetic Resonance(MR)image slices.WCMFO constitutes a hybrid betwee... In this study,a novel hybrid Water Cycle Moth-Flame Optimization(WCMFO)algorithm is proposed for multilevel thresholding brain image segmentation in Magnetic Resonance(MR)image slices.WCMFO constitutes a hybrid between the two techniques,comprising the water cycle and moth-flame optimization algorithms.The optimal thresholds are obtained by maximizing the between class variance(Otsu’s function)of the image.To test the performance of threshold searching process,the proposed algorithm has been evaluated on standard benchmark of ten axial T2-weighted brain MR images for image segmentation.The experimental outcomes infer that it produces better optimal threshold values at a greater and quicker convergence rate.In contrast to other state-of-the-art methods,namely Adaptive Wind Driven Optimization(AWDO),Adaptive Bacterial Foraging(ABF)and Particle Swarm Optimization(PSO),the proposed algorithm has been found to be better at producing the best objective function,Peak Signal-to-Noise Ratio(PSNR),Standard Deviation(STD)and lower computational time values.Further,it was observed thatthe segmented image gives greater detail when the threshold level increases.Moreover,the statistical test result confirms that the best and mean values are almost zero and the average difference between best and mean value 1.86 is obtained through the 30 executions of the proposed algorithm.Thus,these images will lead to better segments of gray,white and cerebrospinal fluid that enable better clinical choices and diagnoses using a proposed algorithm. 展开更多
关键词 Hybrid WCMFO algorithm Otsu’s function multilevel thresholding image segmentation brain MR image
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基于OTSU最大类间方差法的纤维图像分割算法 认领 引用 被引量：1
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作者 孙玉民 钟正欣 +1 位作者 朱嘉恺 马竞赛 《软件》 2025年第9期110-112,共3页
本文详细阐述了基于OTSU最大类间方差法的纤维图像分割技术,并对其在实际应用中的性能进行了评估。OTSU算法作为一种自适应阈值分割方法,通过寻找最优阈值,能够自动将纤维图像中的前景与背景分离,有效减少了人工干预的需求。算法的核心... 本文详细阐述了基于OTSU最大类间方差法的纤维图像分割技术,并对其在实际应用中的性能进行了评估。OTSU算法作为一种自适应阈值分割方法,通过寻找最优阈值,能够自动将纤维图像中的前景与背景分离,有效减少了人工干预的需求。算法的核心在于最大化类间方差,从而实现图像分割的最佳效果。结合形态学操作,该算法在处理纤维图像中的空洞、噪点以及细节保留方面表现出色,提高了图像分割的质量。实验结果表明,该算法不仅适用于羊毛、羊绒等常见纤维材质的图像分割,在多种复杂纤维图像处理中也展现出了良好的稳定性和适应性。本研究为纤维图像分析领域的进一步发展提供了有益的参考和可靠的技术支持。 展开更多
关键词 OTSU算法 纤维图像分割 自适应阈值 形态学操作 图像处理
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基于改进Otsu算法的金属器件镀锌表面缺陷识别方法 认领 引用 被引量：6
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作者 马栎 冯占荣 《电镀与精饰》 CAS 北大核心 2025年第2期46-53,共8页
镀锌表面纹理、颜色以及亮度变化的复杂度往往较高,且不同的光照条件会对金属表面的反射和阴影产生显著影响,当前固定的阈值选择方式难以适应这种复杂多变的识别环境,影响当前人工智能领域中表面缺陷的识别效果,故提出了基于改进Otsu算... 镀锌表面纹理、颜色以及亮度变化的复杂度往往较高,且不同的光照条件会对金属表面的反射和阴影产生显著影响,当前固定的阈值选择方式难以适应这种复杂多变的识别环境,影响当前人工智能领域中表面缺陷的识别效果,故提出了基于改进Otsu算法的金属器件镀锌表面缺陷识别方法。首先,针对金属器件镀锌表面图像,根据结构张量提取图像的轮廓信息,利用Itti模型提取图像颜色和亮度信息,并分别生成各通道显著图。经规范化处理后,通过线性组合构成视觉显著图,用于初步判断图像中是否存在表面缺陷;然后,在常规的Otsu算法中,引入二阶振荡粒子群优化算法多次调整灰度阈值,利用最优的灰度阈值分割出缺陷区域;最后,利用加权马氏距离表示协方差距离,突出缺陷边缘像素特征,使缺陷兴趣区域更加显著,再采用连通区域标记的方式准确识别表面缺陷。实验结果表明,在金属器件镀锌表面缺陷人工智能识别中,该方法可以准确检索到缺陷区域,识别结果的敏感度和特异性较高。由此可以说明,该方法具有良好的应用效果。 展开更多
关键词 Otsu算法 金属器件 镀锌表面 缺陷识别 二阶振荡粒子群优化算法 最优灰度阈值 Gabor小波变换
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The Study of Otsu Algorithm Applied in the Measuring of Ash Proportion 认领 引用
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作者 Weihua Pan Jinghai Wang 《Computer Technology and Application》 2013年第8期410-414,共5页
To further improve the boiler ash ratio detection methods and resource utilization, through image processing technology for boiler ash ratio analysis, the article first studied the one-dimensional Otsu algorithm, and ... To further improve the boiler ash ratio detection methods and resource utilization, through image processing technology for boiler ash ratio analysis, the article first studied the one-dimensional Otsu algorithm, and then for the one-dimensional Otsu algorithm, in order to improve the accuracy of the algorithm, then it puts forward a two-dimensional Otsu algorithm. Finally the two-dimensional Otsu algorithm combined with the one-dimensional Otsu algorithm and the improved Otsu algorithm. By analyzing the improved Otsu algorithm, this paper considers the pixel gray value, neighborhood information, excluding light, noise and the relative efficiency of one-dimensional Otsu algorithm higher accuracy. The relative dimensional Otsu algorithm operating efficiency has been greatly improved. Improved Otsu algorithm in dealing with boiler ash ratio detection has played a very good part in the ecological environment, economic development and some other important aspects. 展开更多
关键词 Otsu algorithm pixels the grayscale of adjacent regions the ratio of ash and dregs.
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