Visual characteristic image enhancement algorithm based on fuzzy rough set theory
A technology of fuzzy rough set and image enhancement, applied in the field of visual characteristic image enhancement algorithm, can solve problems such as poor effect, incompleteness, inaccuracy, etc., and achieve the effect of reasonable design, noise suppression, and excellent visual effect
Inactive Publication Date: 2019-12-17
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, there are many methods of image enhancement, such as grayscale transformation based on time-domain and spatial operations, histogram equalization, noise smoothing, edge sharpening, etc., high-low-pass filtering and wavelet transform based on transform-domain operations; however, due to the image information itself Complexity and strong correlation between them, incompleteness and inaccuracy may appear at different levels in the processing process, making the traditional method of expressing and solving problems with precise, fixed and invariable algorithms Image enhancement methods are less effective
[0003] In summary, the existing image enhancement algorithms have a lot of room for improvement in terms of noise suppression and visual characteristics.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0086] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:
[0087] A visual characteristic image enhancement algorithm based on fuzzy rough set theory, the algorithm design flow chart is as follows figure 1 shown, including the following steps:
[0088] Step 1: Initialize the image enhancement transformation gradient threshold p and the average gray threshold q;
[0089] Step 2: Read the image to be enhanced such as Figure 2a As shown, the average gray value m(s) of the pixels around each pixel is calculated according to the median filter algorithm, and the noise area R is marked c1 (s) if Figure 2b As shown, its calculation formula is as follows:
[0090]
[0091] Among them, i is the abscissa of the image pixel;
[0092] is the ordinate of j image pixel;
[0093] q is the average gray threshold of image enhancement transformation;
[0094] the s ij is a 3×3 pixel sub-block of the image at the...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a visual characteristic image enhancement algorithm based on a fuzzy rough set theory. The main technical characteristics are that firstly, a to-be-enhanced original image iscombined with a traditional Sobel gradient operator and a median filtering algorithm; visual characteristic sub-graph division based on the fuzzy rough set theory is carried out, noise suppression andimage enhancement transformation processing based on the fuzzy rough set theory are carried out on sub-graphs with different visual characteristics, and information fusion is carried out on transformation processing results of all the sub-graphs. The method is reasonable in design, can remarkably suppress noise, has an excellent visual effect, and can be widely applied to the field of digital image processing.
Description
technical field [0001] The invention belongs to the field of digital image processing, in particular to a visual characteristic image enhancement algorithm based on fuzzy rough set theory. Background technique [0002] Image enhancement is a basic image preprocessing method. By selectively enhancing the useful information in the image and suppressing useless information, image enhancement can increase the contrast of the image and weaken the noise information to a certain extent, thereby improving the vision of the original image. The effect is convenient for the subsequent processing of the computer, and its application value has been widely valued. At present, there are many methods of image enhancement, such as grayscale transformation based on time-domain and spatial operations, histogram equalization, noise smoothing, edge sharpening, etc., high-low-pass filtering and wavelet transform based on transform-domain operations; however, due to the image information itself C...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T5/00G06T5/20
CPCG06T5/20G06T2207/20032G06T5/73G06T5/70
Inventor 史绍强
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY