文件名称:Shape feature extraction
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图像的形状特征一般是在物体从图像中分割出来以后进行分析,形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法,一类是边界特征,另一类是区域特征。图像的轮廓特征主要针对物体的外边界,而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape feature descr iption and dimensional measurement can be used as a basis for distinguishing different objects. There are two types of representation methods for shape features, one is boundary feature and the other is regional feature. The contour features of the image are primarily directed to the outer boundary of the object, while the regional features of the image are related to the entire shape region.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
不变矩 | 0 | 2019-04-26 |
不变矩\85.jpg | 9944 | 2019-04-26 |
不变矩\lena.jpg | 91814 | 2013-11-13 |
不变矩\main.m | 2622 | 2019-04-26 |
不变矩\Moment_Seven.m | 1761 | 2016-06-27 |
傅里叶形状描述子 | 0 | 2019-04-26 |
傅里叶形状描述子\85.jpg | 9944 | 2019-04-26 |
傅里叶形状描述子\bound2im.m | 1280 | 2016-06-27 |
傅里叶形状描述子\boundaries.m | 4679 | 2016-06-27 |
傅里叶形状描述子\frdescp.m | 557 | 2016-06-27 |
傅里叶形状描述子\ifrdescp.m | 710 | 2016-06-27 |
傅里叶形状描述子\main.m | 7553 | 2019-04-26 |
傅里叶形状描述子\test.tif | 40616 | 2007-02-03 |
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