Image segmentation method based on LBP and chain code technology

An image segmentation and image technology, which is applied in the field of image segmentation based on LBP and chain code technology, and can solve the problems of poor edge continuity and noise sensitivity.

Pending Publication Date: 2019-07-16
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

And among the above-mentioned operators except the Canny operator, other operators are sensitive to noise and require a lot of preprocessing work before edge detection. Therefore, in terms of edge-based segmentation, the main research focus is on the differential operator. The improvement focuses on the following two aspects: 1. Edge detection is sensitive to noise, so the research of edge detection algorithm is to improve the noise resistance of edge operators on the one hand; 2. The edge continuity detected by edge detection algorithm is not good, so It is also another important aspect to study how to detect more consistent real edges

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  • Image segmentation method based on LBP and chain code technology
  • Image segmentation method based on LBP and chain code technology
  • Image segmentation method based on LBP and chain code technology

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[0089] The present invention will be described in further detail below in conjunction with the examples and accompanying drawings, but the embodiment of the present invention is not limited thereto. It should be pointed out that if there are any processes or compliances (such as ellipsis) that are not specifically described in detail below, they are those skilled in the art. It can be understood or realized with reference to the prior art.

[0090] An image segmentation method based on LBP operator and chain code technology, such as figure 1 shown, including the following steps:

[0091] Step 1. First, Wiener filter preprocessing is performed on the original image to obtain an image containing texture features. The original image is as follows: Image 6 shown;

[0092] Preprocessing is processed by Wiener filtering. The principle of Wiener filtering is based on the minimum mean square error rule, as follows:

[0093]

[0094] In the above formula, e is the minimum mean ...

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Abstract

The invention discloses an image segmentation method based on an LBP operator and a chain code technology, and the method comprises the following steps: 1, carrying out the preprocessing of an image,and obtaining an image with a texture feature; 2, obtaining an LBP characteristic value through a rotation invariant LBP operator; 3, selecting the value with the minimum LBP characteristic value as an LBP operator in a rotating state, and processing the image according to the LBP operator to obtain an effect picture; 4, carrying out noise point filtering on the effect image in the step 3; and step 5, determining a segmentation region through the Freeman chain code. The problem of edge discontinuity is improved through extraction and classification of a plurality of features in cooperation with chain code detection.

Description

technical field [0001] The invention relates to technical fields such as image processing, image segmentation, feature processing, etc., and specifically relates to an image segmentation method based on LBP and chain code technology. Background technique [0002] Image segmentation technology is an important research direction in the field of computer vision and an important part of image semantic understanding. Image segmentation refers to the process of dividing an image into several regions with similar properties. From a mathematical point of view, image segmentation is the process of dividing an image into mutually disjoint regions. In recent years, with the gradual deepening of deep learning technology, image segmentation technology has developed by leaps and bounds. Technologies related to this technology, such as scene object segmentation, human body front and background segmentation, human face parsing, and 3D reconstruction, have been used in unmanned driving, Aug...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11
CPCG06T7/11
Inventor 谢巍刘希张浪文
Owner SOUTH CHINA UNIV OF TECH
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