Mar 30, 2008 · Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task.
Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task.
Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task.
Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task.
A new texture recognition system is proposed that uses small-size feature vectors to characterize texture images without compromising overall classification ...
Abstract: This paper deals with texture feature extraction operators, which comprise linear filtering eventually followed by post processing.
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Nov 2, 2012 · Another way to get rotational invariance for free, is to choose objects that are rotationally invariant. For instance, a circle or a ring is invariant to ...
Missing: Learning Texture
These filters can be used to extract rotation invariant features well-suited for image classification. We test this learning procedure on a texture ...
In this paper, a rotation invariant textural feature extraction technique is proposed for textural image retrieval. Here, the rotation invariance of wavelet ...
Mar 14, 2024 · The proposed method uses circular shifting in both the scale and the rotation dimensions in conjunction with a Gaussian window to reduce the ...