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Feature extraction is an important procedure for image segmentation or classification. This can be used for blood vessel segmentation or classification. Gray_level features are obtained based on operations conducted with the intensity levels of the neighbouring pixels or otherwise called the adjacent pixels. Here, five gray-level features are extracted for giving as the input to the neural network.
Feature1 is obtained by subtracting minimum value among the neighbourhood pixels from the actual pixel value. Feature2 is obtained by subtracting the actual pixel value from the maximum value among the neighbourhood pixels. Feature3 is obtained by subtracting mean value of the neighbourhood pixels from the actual pixel value. Feature4 is obtained by finding the standard deviation of neighbourhood pixels. Feature5 is the actual pixel gray value.
matlab
分类
分割
灰度
提取
特征
应用程序
血管
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