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image processing algorithm for image detection
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Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over th
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Image segmentation.
segmentation divides image into ints constituent regions.
there are 3basitypes of discontinuities in image point,line and edge
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grabcaut程序源代码，对图像分割很有帮助，可以参考一下！-grabcaut program source code, useful for image segmentation, you can refer!
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it describe about brain image segmentation
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It is about matlab which depicts brain image segmentation
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It is about matlab which depicts brain image segmentation
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It is about matlab which depicts brain image segmentation
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algorithm of watershed by immersion vincent and soille and others methods to segmente an image
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Image AND Video Segmentation Current Status
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基于matlab的彩色图像分割，方法是K-means聚类分割-Matlab-based color image segmentation method is K-means clustering segmentation
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通过吉布斯与马尔科夫的关联，建立马尔科夫模型的图像分割方法-Image segmentation method based on markov model. Image segmentation method based on markov model.
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graph based segmentation using matlab for image segmentation
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基于图像分割的外文文献 2013年以后的 都是自己挑选出来比较有用的-Image segmentation based on foreign literature after 2013 are more useful out of their own choosing
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模糊分析的方法是用均一表面不确定性对原始图像进行模糊纹理滤波, 在滤波图像上计算空间均一不确定性,对不确定性进行模糊纹理光谱分析, 其光谱曲线直观地反映了多光谱遥感图像的纹理特征 通过采用不同的测量窗口,在不同的类别提取纹理样品进行实验。研究结果表明:多光谱遥感图像在小区域纹理特征不稳定,不同波段的纹理特征不同,不同类别的最小测量区域不同 模糊纹理分析的方法可用于图像分割。-Fuzzy analysis is to use a uniform surface uncertainty on the
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Basic Idea of Image Segmentation
„ All the image segmentation methods assume that:
1. the intensity values are different in different regions, and,
2. within each region, which represents the corresponding object in a
scene, the intens
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image segmentation using neural networks
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提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first
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集成改进Mean Shift 和区域合并两种算法的图像分割,能得到更好的分割效果，且能在一定程度上提高遥感影像分割的自动化。-Improved Mean Shift and regional integration merge two algorithms for image segmentation, segmentation can get better results, and can improve the automation of remote sensing image segme
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改进分水岭方法定位虹膜，采用形态学开闭重建运算对图像进行滤波，进行前后景标记，从而进行分割图像-Improved watershed method to locate the iris, using morphological opening and closing operation for image reconstruction filter, before and after King Mark, thereby performing image segmentation
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