Improved adhesion particle target segmentation method based on concave point matching

A target segmentation and pit point technology, applied in the field of image processing, can solve the problems of isolated pit points that cannot be segmented, low operating efficiency, over-segmentation, etc., and achieve the effect of improving segmentation operating efficiency and improving operating efficiency

Active Publication Date: 2019-09-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

The existing segmentation algorithms often have mis-segmentation and over-segmentation problems for images with serious adhesion;
[0006] (2) Low efficiency
The existing segmentation algorithm has low operating efficiency and wastes a lot of computing cost, which needs to be further improved;
[0007] (3) Limitat

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  • Improved adhesion particle target segmentation method based on concave point matching
  • Improved adhesion particle target segmentation method based on concave point matching
  • Improved adhesion particle target segmentation method based on concave point matching

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[0042] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation and accompanying drawings.

[0043] The purpose of the present invention is to improve the segmentation efficiency of adhesion multi-objects (such as rice, tablets, white blood cells, etc.), improve the accuracy of segmentation, and solve the technical problem that isolated pits cannot be segmented. The segmentation method of the present invention is especially suitable for the segmentation of the cohesive particle target of the target without pit itself, for example: rice, pills, white blood cells and the like.

[0044] The segmentation processing of the present invention mainly comprises three parts:

[0045] First of all, through traditional morphological operations to segment the adhesion target with less adhesion and reduce the number of pits;

[0046] Secondly, use...

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Abstract

The invention discloses an improved adhesion particle target segmentation method based on concave point matching, and belongs to the technical field of image processing. The method comprises the following steps: firstly, carrying out image preprocessing to obtain a contour and a concave point of a to-be-segmented target; then, carrying out preliminary segmentation based on morphological operation, so that the number of pits for matching processing is effectively reduced; thirdly, performing segmentation processing based on local concave point matching, i.e., performing local concave point matching processing first, and then realizing first segmentation processing based on a matching result; and finally, carrying out second segmentation processing based on distance transformation processing, and the technical problem of isolated pits is solved. The method can be applied to the technical fields of agricultural seed counting, segmentation and the like, and is high in segmentation accuracy.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to the segmentation processing of cohesive particle objects. Background technique [0002] In recent years, product detection and classification technology has been a research hotspot in various scientific fields, and the production, processing and detection of granular products play an important role in the actual production process. Due to the large number of granular targets, manual measurement and statistics are very difficult. Therefore, image processing technology is used to convert them into two-dimensional images, and then the cohesive targets are separated reasonably and accurately. [0003] At present, the better segmentation methods of cohesive objects include morphological segmentation algorithm, watershed segmentation algorithm, concave point matching algorithm, etc. These algorithms are not universal for different cohesive multi-objects. The morph...

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Application Information

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IPC IPC(8): G06T7/11G06T7/13G06T7/136G06T7/155G06T7/64
CPCG06T7/11G06T7/13G06T7/136G06T7/155G06T7/64
Inventor 贾海涛孙志恒刘亚菲李俊杰许文波罗欣
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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