Image color extraction processing structure

Abstract

The invention discloses an image color extraction processing structure, which is used in the technical field of image processing, and solves the problems that the traditional color image segmentation device has difficulty acquiring high-quality and elaborative segmentation results and the real-time performance cannot meet the requirements of a large-scale database. The image color extraction processing structure comprises the steps of: establishing a background model when receiving a video image, and extracting a foreground image of the video image; subjecting the acquired foreground image to color normalization processing, and regarding a normalized image as an object of image data segmentation; and clustering pixels of the image by adopting an image segmentation algorithm according to dissimilarity measure of color features among the pixel points, segmenting the image into pieces of blob sub-regions, and extracting color and position features corresponding to each sub-region. The image color extraction processing structure can perform target image recognition precisely and effectively, and has high real-time performance. If not specified, the images referred in the invention are color images.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color image color extraction processing structure. Background technique [0002] With the rapid development of multimedia technology, video data is becoming larger and larger. How to analyze, search and identify these massive video data has become an important challenge in related research fields, especially in the fields of intelligent monitoring and digital security. Hotspots and Difficulties. In order to identify and track the target object in the image, it is usually necessary to extract the image features of the target for comparison. As a highly robust visual feature, color features are more dependent on factors such as the size, direction, and viewing angle of the object itself. Small and therefore widely used. [0003] There are many ways to extract color features, such as image segmentation, which divides the image into several different color regions, and t...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to improve and optimize the traditional method for the problem that it is difficult to obtain high-quality and refined segmentation results by traditional image segmentation methods, and the real-time performance cannot meet the requirements of large-scale databases, and propose a new image segmentation method. Color Extraction Processing Structure

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