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Self-adaptive contour extraction system and method based on FPGA morphological operator

A contour extraction and adaptive technology, applied in the field of image processing, can solve the problems of low robustness, insufficient real-time performance, slow processing speed, etc., and achieve the effect of high flexibility and delicate image contour details

Pending Publication Date: 2021-03-19
XIDIAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a color image contour extraction system and method based on FPGA adaptive morphological operators, which are used to quickly, efficiently and flexibly obtain the contour image of a color image, and effectively solve the digital problem. In the field of image processing, technologies such as noise suppression, image segmentation, edge detection, and feature extraction have slow processing speed, low efficiency, insufficient real-time performance, and low robustness.

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to figure 1 The system structure of the present invention is further described.

[0039] The system of the invention includes a control module, a search structure generation module, an adaptive optimization module, an expansion operator generation module, a corrosion operator generation module, and an outline extraction module.

[0040] The control module is used to convert the color image to be processed into an image in YCbCr format through a color space conversion method, and extract the brightness component Y therein.

[0041] The search structure generation module is used to cache two rows of data through the shift register in the FPGA for the brightness component Y, and simultaneously form a 3-row array with the currently input row of data, and use a D flip-flop to delay each row of data in the array A 3×3 pixel search structure is obtained.

[00...

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Abstract

The invention discloses a self-adaptive color image contour extraction system and method based on an FPGA morphological operator. The system is composed of a control module, a search structure generation module, a self-adaptive optimization module, an expansion operator generation module, a corrosion operator generation module and a contour extraction module. The control module is used for extracting a brightness component of a to-be-processed color image; the search structure module fills the constructed search structure with the brightness component; the self-adaptive optimization module performs adaptive optimization on the elements in the search structure; the expansion and corrosion operator generation modules generate an expansion and corrosion operator by means of the optimized search structure; the contour information generation module generates contour data of the image by means of expansion and corrosion operators. The method can be used for realizing contour extraction of the color image on the FPGA, and has the advantages of high image processing speed and good detail processing effect.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a color image contour extraction system and method based on a Field Programmable Gate Array (Field Programmable Gate Array) adaptive morphological operator in the technical field of color image processing. The invention can perform noise suppression, image segmentation, edge detection, feature extraction and other processing on color images obtained in the fields of remote sensing, military affairs, industry and medicine. Background technique [0002] With the continuous development of information technology, digital images have become an important means for human beings to obtain information, and are widely used in communication, military, medical and other fields. Using mathematical morphology to process digital images can achieve very good results, and can effectively solve problems such as noise suppression, image segmentation, edge detection, and feature extra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/181G06T7/13G06T5/30G06T7/90
CPCG06T7/181G06T7/13G06T7/90G06T5/30G06T2207/10024
Inventor 王俊平李金山于成浩王娜张雅洁冀潇颜
Owner XIDIAN UNIV
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