Image segmentation method during histogram approximate unimodal distribution of scene

A technology of image segmentation and histogram, applied in the field of image processing

Active Publication Date: 2020-08-04
SOUTHWEAT UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve the image segmentation problem when the histogram of the scene is approximately unimodal,

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  • Image segmentation method during histogram approximate unimodal distribution of scene
  • Image segmentation method during histogram approximate unimodal distribution of scene
  • Image segmentation method during histogram approximate unimodal distribution of scene

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Embodiment Construction

[0018] In order to better understand the present invention, the segmentation method of the present invention will be described in more detail below in conjunction with specific embodiments. In the following description, detailed descriptions of currently existing prior art may obscure the subject matter of the present invention, and these descriptions will be ignored here. The present invention proposes an image segmentation method, which takes the saturation characteristic distribution of the image as the basis for segmentation, traverses to find the optimal segmentation threshold that satisfies the conditions, and performs subsequent processing. The specific implementation steps are as follows:

[0019] Step 1, obtain the input scene image 101, such as figure 2 ;

[0020] Step 2, converting from original RGB to HSV color space 102;

[0021] Step 3, separating the H, S 103 and V components therein;

[0022] Step 4, extracting the saturation characteristic components there...

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Abstract

The invention provides an image segmentation method during histogram approximate unimodal distribution of a scene. The method maximizes the difference between two types of mean values based on saturation characteristics, and comprises the following steps: firstly, converting an original image into an HSV color space and extracting saturation characteristic components; then, calculating an objective function through histogram distribution characteristics of saturation components, and finding the value of the maximized objective function to serve as the optimal segmentation threshold value to achieve binaryzation of the image; and finally, performing necessary morphological operation on the binarized image to obtain a final segmentation processing result. The invention aims to solve the problem of image segmentation when a histogram of a scene is approximately in single-peak distribution, provides a method for effectively segmenting two types of histograms when the histogram difference between a target object and a background is not obvious, and is good in robustness and stable and reproducible in result.

Description

technical field [0001] The present invention relates to image processing technology, in particular, relates to a method for separating the target in the scene from the background when the histogram distributions of the background and the target are similar. Background technique [0002] Image segmentation is an important part of image processing, widely used in machine vision, object recognition and other fields. Since the effect of segmentation will be affected by many factors, there is no image segmentation algorithm that can be applied to various scenarios. Among many image segmentation algorithms, the threshold segmentation algorithm has been widely studied and applied due to its simplicity, efficiency, and ease of understanding. Among them, the most classic algorithms mainly include the method of maximum between-class variance, maximum entropy and minimum error. [0003] The Otsu method divides all pixels in the image into background and target according to the gray le...

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Application Information

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IPC IPC(8): G06T7/136G06T7/155G06T7/194G06T7/90G06T5/40
CPCG06T7/136G06T7/155G06T7/194G06T7/90G06T5/40G06T2207/10024
Inventor 方艳红赵琳张红英
Owner SOUTHWEAT UNIV OF SCI & TECH
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