pic中特定区域内的纹理识别 [英] Texture recognition within a specific area in the pic
问题描述
我是纹理识别领域的新手，我想知道哪些方法可以解决opencv中的纹理问题。
I'm new in the texture recognition field, and I would like to know which are the possible ways to approach a texture problem in opencv.
我需要识别图片中某个区域内的纹理，并判断它是否在整个区域内是均匀的，均匀的。
I need to identify the texture within a region in the pic, and tell if it is uniform, homogeneous in the whole area, or not.
更深入，我需要能够判断一个可能堕落的人是否是一个人（有许多不同类型的纹理）或者像枕头或毯子一样的错误。
More in depth, I need to be able to tell if a possible fallen person is a person (with many different kind of textures) or something wrong like a pillow, or a blanket.
任何人都可以提出解决方案，请？
是否有一些已经制作的opencv代码需要适应？
Could anyone suggest a solution, please? Is there some already made opencv code to adapt?
提前致谢！
推荐答案
为什么不使用haralick功能？换句话说，它们被称为纹理特征。基本思想是从基础上的给定灰度图像计算共同矩阵，其中计算haralick特征。您可以选择不同的功能，如对比度，相关性，熵等，可以描述您的纹理。我想对于相同的纹理，给定的特征应该具有相同（相似）的值，因此这可能是区分纹理的方式。
Why don't use haralick features? I other words they are called texture features. The base idea is to compute coocurence matrix from given gray-scaled image on base which the haralick features are computed. You can pick between different features like contrast, correlation, entropy etc. which can describe your texture. I guess for the same texture given feature should have the same (similar) value, so that might be the way for distinguishing textures.
这里有些链接可能会有所帮助：
Here some links can be helpful:
- Coocurence matrix tutorial
- Haralik features summary
- Coocurence matrix in scikit image
据我所知，opencv中没有实现haralick功能，但你可以使用python与 scikit-image （当然，如果你不介意使用与c ++不同的东西，你可以使用opencv和python）。
So far as I know, there is no implementation of haralick features in opencv, but you can use python with scikit-image (of course you can use opencv with python if you don't mind using something different than c++).
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