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FPGA adaptive morphological operator-based binary image processing method

A binary image and morphology technology, applied in the field of image processing, can solve the problems of not better retaining images, fast speed, etc., and achieve fast speed, good image details, and good processing effects

Active Publication Date: 2018-03-27
XIDIAN UNIV
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Problems solved by technology

The disadvantage of this method is that when using the morphological method to further process the binary image, it cannot better retain the characteristics of the original image.
The disadvantage of this method is that it only constructs adaptive circular structure elements applied to grayscale images, and uses adaptive circular structures to construct adaptive erosion, expansion, opening, closing, and hit-and-miss transformations. Learning operators, only implement these operators on software, not as fast as implementing them on hardware

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  • FPGA adaptive morphological operator-based binary image processing method
  • FPGA adaptive morphological operator-based binary image processing method
  • FPGA adaptive morphological operator-based binary image processing method

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] refer to figure 1 , the specific steps for the realization of the present invention are described as follows.

[0040]Step 1, input a to-be-processed binary image containing the four characters Zhi Xing Yuan Near.

[0041] Step 2, extract the pixel value.

[0042] Use MATLAB software to extract all the pixels of a binary image containing the four characters Zhixing, Far and Near.

[0043] Use MATLAB software to obtain the pixel values ​​of all pixels.

[0044] Step 3, adaptively select structural elements.

[0045] Select any pixel point from all the pixels as the center pixel point, and obtain a pixel point group consisting of five pixels in total of four points in the center pixel point and its neighborhood.

[0046] Divide all pixels into pixel groups containing five pixels, and obtain the pixel value of each pixel in all pixel groups.

[0047] Accordin...

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Abstract

The invention discloses an FPGA adaptive morphological operator-based binary image processing method. The method comprises the following steps of: (1) inputting an image; (2) extracting a pixel value;(3) adaptively selecting a structure and elements; (4) carrying out dilation operation; (5) carrying out closed operation; (6) carrying out erosion operation; (7) carrying out open operation; (8) converting the image into a binary image; and (9) outputting a result map. Compared with existing methods for realizing binary adaptive morphological operators, the method has the advantages of obtainingbetter effects and better keeping characteristics of original images in the process of processing binary images, and improving the image processing speed in the process of realizing adaptive morphological operators on field programmable gate arrays FPGA.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a digital image processing method based on an adaptive morphological operator of a field-programmable gate array FPGA (Field-Programmable Gate Array) in the technical field of image data processing. The present invention can be applied in communication, meteorological biology, military, robot vision, medicine and other technical fields to solve the problem of digital image suppression, feature extraction, edge detection, image segmentation, shape recognition, texture analysis, image restoration and reconstruction, image compression, etc. solving issues. Background technique [0002] In this information age, digital images, as the visual basis for human perception of the world, are an important means for human beings to obtain, express and transmit information, and are widely used in various fields such as scientific research and industry. Mathematical morphology i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/155
CPCG06T7/155G06T2207/10004
Inventor 王俊平李艳波白瑞雪
Owner XIDIAN UNIV
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