Color image segmentation method based on exponential moment pixel classification

Abstract

The invention discloses a color image segmentation method based on exponential moment pixel classification. The method includes: in the segmentation process of a color image, the color image is decomposed by employing an exponential moment in RGB three channels, and proper moment values obtained by decomposition are regarded as pixel level characteristics of the image; a threshold is solved by employing a two-dimensional Otsu rapid threshold foremost segmentation algorithm, and training samples are selected; and the obtained pixel level characteristics and the training samples by employing a TSVM classifier are finally classified, and a segmentation result is obtained. According to the system, the description capability for the image by the exponential moment is high, the value calculation is stable, and the noise sensitivity is low so that the characteristics of the image can be well extracted; in this way, characteristic extraction of the image is performed via the exponential moment so that the segmentation effect is greatly enhanced compared with segmentation by employing single color or texture.

Description

technical field [0001] The invention belongs to the technical field of image segmentation for multimedia information processing, in particular to a color image segmentation method based on exponential moment pixel classification that uses exponential moment decomposition to obtain moment values ​​as pixel characteristics, has strong image description capabilities, and can well describe pixel features. . Background technique [0002] Image segmentation is a fundamental and key hot research issue in image processing and computer vision. In many image processing tasks, researchers are often only interested in certain parts of the image. In order to achieve the recognition and analysis of these visual objects, they need to be separated from the image by image segmentation algorithms, and the segmentation Other processing of the image is further realized on the target that comes out. Therefore, the image segmentation method is to divide the image into several disjoint and uniqu...

AI Technical Summary

Problems solved by technology

The color image segmentation problem can also be regarded as the classification problem of image pixel-level features, but most of the features proposed so far are not strong enough to describe the pixels of the image. This paper proposes a color image segmentation method based on exponential moment pixel classification, which can describe the pixel features well.

The problem of color image segmentation can also be regarded as a classification problem of image pixel-level features, but most of the features proposed so far are not strong enough to describe the pixels of images

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