Automatic partitioning method for optimizing image initial partitioning boundary

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

Inactive Publication Date: 2008-07-30
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

Although watershed methods have been successfully used in image classification, they require user interaction or accurate prior knowledge about the image structure

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  • Automatic partitioning method for optimizing image initial partitioning boundary
  • Automatic partitioning method for optimizing image initial partitioning boundary
  • Automatic partitioning method for optimizing image initial partitioning boundary

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with accompanying drawing, and segmentation optimization method of the present invention mainly comprises the following steps:

[0034] (1) Detect the boundary points in the initial segmentation results and mark them according to the initial segmentation results. All the boundary points in the first region are marked as Arabic numerals "1", and the boundary points in the second region are marked as "2". and so on;

[0035] (2) Calculate the nearest neighbor function value between all points in a certain neighborhood of each marked boundary point;

[0036] (3) Calculate the membership function value of the current boundary point according to the neighbor function value, that is, the possibility measure that the current boundary point belongs to a certain area;

[0037] (4) Reclassify the boundary points according to the membership function value to obtain the optimal segmentation boundary.

[0038] ...

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Abstract

The invention relates to an image processing technology, in particular to an automatic optimization method of initially segmented boundary based on neighbor function criterion. The method comprises the following steps: initially segmented boundary points are detected, and are marked with Arabic numerals according to an initially segmented area; neighbor function values within a neighborhood are calculated for each boundary point; membership function values of the current boundary point are calculated according to the neighbor function values; the boundary points are reclassified according to the membership function values to get an optimized segmented boundary; the steps above are repeated to ensure the segmented boundaries of the entire image to be optimized. The method provided by the invention imitates some functions of human eyes during image processing, and can optimize inaccurately segmented boundaries automatically. In addition, the invention eliminates the influence of image noise, local bulk effect, overlapping intensity and non-uniformity of intensity, and well complements prior segmentation algorithm. The invention has important application values in the fields of medical image segmentation, remote sensing image segmentation, target identification and so on.

Description

technical field [0001] The invention relates to image processing technology, in particular to an automatic optimization algorithm of an initial segmentation boundary based on a neighbor function criterion. Background technique [0002] The so-called image segmentation refers to distinguishing different regions with special meaning in the image, these regions do not cross each other, and each region satisfies the consistency of a specific region. From the perspective of processing objects, segmentation is to determine the location of the target of interest in the image matrix. Obviously, only by using this method to extract the "target object of interest" from the complex scene, it is possible to further quantitatively analyze or identify each sub-region, and then understand the image. The features available for image segmentation include image grayscale, color, texture, local statistical features or spectral features, etc. The difference of these features can be used to dis...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 田捷陈健
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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