Color image segmentation method based on exponential moment pixel classification

A color image, pixel classification technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of weak image pixel ability and weak pixel ability

Inactive Publication Date: 2016-05-11
LIAONING NORMAL UNIVERSITY
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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 exponenti

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  • Color image segmentation method based on exponential moment pixel classification
  • Color image segmentation method based on exponential moment pixel classification
  • Color image segmentation method based on exponential moment pixel classification

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Embodiment Construction

[0057] The color image segmentation algorithm based on exponential moment pixel classification is characterized in that comprising:

[0058] Step 1: Decompose the three RGB components of the color image into exponential moments respectively, and select the calculated moments as the pixel-level features of the image, as follows:

[0059] Step 11: first decompose a color image into three channels of RGB;

[0060] Step 12: Construct each pixel for each channel in RGB local window of , select

[0061] in points 3×3 local window centered on ;

[0062] Step 13: Compute the exponential moments for each local window:

[0063] Step 131: Assume is the image in polar coordinates, define the exponential moments as follows

[0064]

[0065] in is a radial basis function, and the value range of k is all integers;

[0066]

[0067] Step 132: is an integral operation defined in the polar coordinates of the unit circle, and the digital image function is defined in Carte...

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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...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10004G06T2207/10024G06T2207/20081
Inventor 王向阳陈亮牛盼盼
Owner LIAONING NORMAL UNIVERSITY
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