Description: 本人改进的关于自适应分割方法,结合了大津法获得的阈值作为初始阈值,可以提高运行速度和分割效果-I improved on the adaptive segmentation method that combines the Otsu threshold obtained as the initial threshold, can improve speed and segmentation results Platform: |
Size: 1024 |
Author:黄玉 |
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Description: 一种改进的基于Otsu理论的图像分割方法,从算法运行速度和分割效果两方面对最大类间方差法进行改进-An improved Otsu-based theory of image segmentation methods, from the algorithm speed and segmentation results both on the maximum between-class variance method to improve Platform: |
Size: 53248 |
Author:庞德文 |
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Description: 用C写的OTSU的改进方法-谷强调法,用于图象分割。-OTSU written with C improved method- Gu emphasized the law, for image segmentation. Platform: |
Size: 7168 |
Author:h |
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Description: 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization Platform: |
Size: 1024 |
Author:吕壮 |
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Description: 针对类圆形堆积物图像的前景和背景在色彩或灰度上相近,难以用传统阈值分割等算法进行有效分割的问题,提出一种多方法融
合的类圆形堆积物图像区域分割策略。对图像进行滤波等一系列预分割处理后进行投影得到目标图像的外接矩形区域,以排除噪声的干扰,
在区域内采用改进的灰度共生矩阵方法进行粗分割,以解决窗口大小与分割精度的问题,采用二维OTSU 阈值分割方法对粗分割结果进行
量化。实验结果表明,该方法得到的区域分割结果边缘清晰、准确度高。-Round deposits for the prospect of images and background color or grayscale at up close, it is difficult using traditional threshold segmentation algorithm, such as the effective partition of the problem, a method of integration of many types of deposits circular image region segmentation strategy. Image filtering deal with a series of pre-partition after the target image projection external rectangular area in order to rule out the possibility of noise interference, in the region to adopt improved methods of co-occurrence matrix gray coarse segmentation to solve the window size and segmentation accuracy problem, using two-dimensional OTSU threshold segmentation method to quantify the coarse segmentation results. Experimental results show that the method of region segmentation results of the edge of a clear, high accuracy. Platform: |
Size: 141312 |
Author:子登 |
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Description: 分布式环境的计算,课件的使用,以及各种资源-The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, extended Otsu method, improved Otsu combined with genetic arithmetic and adaptive segmentation method based on LVQ network. It is written in a good structure. Platform: |
Size: 436224 |
Author:陈宥余 |
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Description: 一种改进的基于Otsu理论的图像分割方法,从算法运行速度和分割效果两方面对最大类间方差法进行改进-An improved Otsu-based theory of image segmentation methods, from the algorithm speed and segmentation results both on the maximum between-class variance method to improve Platform: |
Size: 53248 |
Author:wangcong |
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Description: 对人脸图像进行肤色分割时就是采用自适应阈值分割法进行的,具体是应用改
进的最大类间方差法进行肤色分割处理。-Images of human faces using skin color segmentation is adaptive thresholding method, the specific application is improved Otsu method for color segmentation. Platform: |
Size: 3072 |
Author:ryy5745 |
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Description: 一种改进的基于Otsu理论的图像分割方法-An improved Otsu-based theory of image segmentation methods, from the algorithm speed and segmentation results both on the maximum between-class variance method to improve Platform: |
Size: 3072 |
Author:sun xuewu |
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Description: 张新明等提出二维Otsu法的准分法,采用8-去心邻域模板构建二维直方图,并给出了改进的快速递推公式。-Xinming proposed quasi-sub method of the two-dimensional Otsu method, the neighborhood template to build two-dimensional histogram using 8- to the heart, and gives improved fast recursive formula. Platform: |
Size: 656384 |
Author:朱磊 |
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Description: 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization Platform: |
Size: 1024 |
Author:edtoa |
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Description: 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization Platform: |
Size: 1024 |
Author:乙烯项目 |
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Description: 基于邻域灰度梯度的改进二维OTSU算法:在二维OTSU的方法上进行改进,将纵坐标改用像素点的灰度值与其邻域的平均灰度值的差的绝对值,分割图像。-Neighborhood-based two-dimensional gray-scale gradient improved OTSU algorithm: to improve on the two-dimensional OTSU method, the vertical axis instead of the absolute value of the difference between the pixel gray value and its average gray value of the neighborhood, split image . Platform: |
Size: 727040 |
Author:徐青青 |
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