Image segmentation method adopting regression algorithm

A technology of image segmentation and regression algorithm, applied in the field of image processing, can solve problems such as difficult segmentation

Inactive Publication Date: 2017-05-31
SHENZHEN WEITESHI TECH
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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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  • Image segmentation method adopting regression algorithm
  • Image segmentation method adopting regression algorithm
  • Image segmentation method adopting regression algorithm

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Embodiment Construction

[0040] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0041] figure 1 It is a system flowchart of an image segmentation method using a regression algorithm in the present invention. The main contents include: background fitting smoothing model, pixel regression, RANSAC robust regression, overall segmentation algorithm.

[0042]Wherein, in the background fitting smoothing model (1), we assume that if an image block has only the background, it can be used as the basis of the smoothing model; the approximate value of the pixel smoothing function of each pixel has an error smaller than the required threshold; but If an image block consists of some foreground pixels superimposed with a smooth background, and these foreground pixels account fo...

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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10
Inventor 夏春秋
Owner SHENZHEN WEITESHI TECH
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