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hhh5
- 基于信息熵的图像分割方法研究及其在DSP中的快速实现-Entropy-based image segmentation method and its fast implementation in the DSP in
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
WignerVille2014
- 本文将小波图像分解和信息熵特征提取相结合,提出一种新的掌纹特征提取算法。该算法首先对掌纹灰度图像进行二维小波分解,再利用多分辨信息熵分别计算不同尺度下的能谱熵作为特征向量,从而实现掌纹特征提取。该算法不但避免了图像增强和纹理细化等预处理过程,而且运用多分辨信息熵的自适应计算方法来调节分解级数,使得到的特征向量长度远小于传统算法。-In this paper, wavelet image decomposition and information entropy feature extractio
Marx20110509
- 本文将小波图像分解和信息熵特征提取相结合,提出一种新的掌纹特征提取算法。该算法首先对掌纹灰度图像进行二维小波分解,再利用多分辨信息熵分别计算不同尺度下的能谱熵作为特征向量,从而实现掌纹特征提取。该算法不但避免了图像增强和纹理细化等预处理过程,而且运用多分辨信息熵的自适应计算方法来调节分解级数,使得到的特征向量长度远小于传统算法。-In this paper, wavelet image decomposition and information entropy feature extractio
maxentropie
- threshold is a key technique for the segmentation and edge detection in an image for image processing. Here in this file the threshold is on the based of the maximum entropy of an image using shannon entropy method.