Color texture feature extraction method based on quaternion gabor filter

A texture feature and extraction method technology, applied in the field of image processing, can solve the problems of not using texture image color features, not providing color texture feature images, ignoring image color features, etc.

CN107818579BActive Publication Date: 2021-09-28NORTHEAST DIANLI UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-09-28

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Abstract

The invention belongs to the technical field of image processing, and in particular relates to a color texture feature extraction method based on quaternion Gabor filtering. According to the quaternion and Gabor filter, the quaternion Gabor filter is deduced, the original color image to be extracted is input, and the original color image is processed by the quaternion Gabor filter convolution algorithm to obtain the color texture feature image. Several pieces of color texture feature images with high similarity of the original color images, extracting the Tamura features of each channel of the several pieces of color texture feature images; The Tamura features of each channel form a set of feature vectors together, that is, the color texture feature vector is obtained. The method of the invention can largely retain texture features such as roughness, contrast and directionality of the original image, and can extract color information of the original image at the same time.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and in particular relates to a color texture feature extraction method based on quaternion Gabor filtering. Background technique

[0002] Texture is an important visual clue of features, and an important but difficult to describe feature in image processing. Up to now, there is still no recognized and strict definition of image texture features. The research content of texture analysis mainly includes texture classification and segmentation, texture synthesis, texture retrieval and texture restoration shape. One of the most basic problems in these research contents is texture feature extraction. The quality of extracted texture features directly affects the segmentation and classification results. The existing texture feature extraction methods mainly include statistical methods, model methods, signal processing methods and structural methods. Among them, the Gabor filter in the signal ...

Examples

Embodiment 1

[0041] Color texture feature extraction method based on quaternion Gabor filter, described color texture feature extraction method is to utilize quaternion Gabor filter and quaternion Gabor convolution algorithm to carry out feature extraction to color image, obtain 5 according to traditional Gabor filter setting 40 color texture feature images of 40 scales and 8 directions (the scales and directions here are not limited to specific 5 scales and 8 directions, in other embodiments, other values ​​can also be taken); then, calculate For each feature image and the Tamura texture features (roughness, contrast, directionality) of the original image, according to the Euclidean distance, select the 3 feature images with the highest similarity to the original image (requiring different scales and different directions), This imitates image rotation and zooming in and out, and finally calculates the Tamura texture features of the three feature images and the color components of the color...