Image segmentation method adopting regression algorithm

Abstract

The invention provides an image segmentation method adopting a regression algorithm. The main contents of the method comprise a background fitting smoothing model, pixel regression, RANSAC robust regression, and an integral segmentation algorithm. The difficulties of the prior art are overcome by adopting a regression segmentation algorithm; firstly a background part is subjected to smoothing processing through the fitting smoothing model; secondly the pixel intensity is predicted through the pixel regression, and optimal values of model parameters are found, so that the background is not influenced by pixels of a foreground; thirdly the number of abnormal values is reduced to the maximum extent through an iterative method by the RANSAC robust regression technology, and the algorithm speed is increased through preprocessing; and finally all the pixels are fitted by adopting a least square method through the integral segmentation algorithm, so that the image segmentation is finished. The algorithm provides excellent image segmentation performance, the difficulties of common methods before are overcome, and a segmentation result also has relatively good performance when background and foreground image ranges are overlapped.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image segmentation method using a regression algorithm. Background technique [0002] Images on display screens, such as computers and smartphones, are mostly mixed content files, usually consisting of two layers consisting of a smooth background and a foreground of text, line graphics. Image segmentation algorithms are often used in medical image segmentation, text extraction, biometric recognition, and automatic texture segmentation. Common image compression algorithms such as JPEG2000 and intra-frame coding, but because the foreground may be covered on a smoothly changing background, the color range and foreground Colors overlap, making segmentation difficult. [0003] The present invention proposes an image segmentation method using a regression algorithm. The regression segmentation algorithm is used to overcome the difficulties of the previous technology. First, the back...

AI Technical Summary

Problems solved by technology

Image segmentation algorithms are often used in medical image segmentation, text extraction, biometric recognition, and automatic texture segmentation. Common image compression algorithms such as JPEG2000 and intra-frame coding, but because the foreground may be covered on a smoothly changing background, the color range and foreground Colors overlap, making segmentation difficult

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