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As the development of computer vision, texture becomes a key component for human visual perception and plays an important role in image-related applications. This paper compares two methods for texture image classification. The first scheme has an advantage that all the texture features are derived from wavelet transform, and it can reduce the time complexity of texture features extraction. The other...
High spatial resolution remotely sensed images have made it possible for humans to observe the earth in detail; however, there are new challenges for processing such kind of images. Some different categories in the images are always classified into one category using spectral features based classification method, because they have similar color or intensity. In recent years, the image processing approach...
Texture is a key component for human visual perception and plays an important role in image-related applications. This paper combines perceptual texture features and Gabor wavelet features for texture image classification. Three new texture features which are proved to be in accordance with human visual perception are introduced. These features include directionality, contrast and coarseness in wavelet...
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