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An Image Enhancement Method Based on Intuitionistic Fuzzy Sets

An intuitionistic fuzzy set and image enhancement technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of lack of image optimization conditions, low contrast, and few gray levels, so as to improve computing efficiency and reduce calculation amount Effect

Active Publication Date: 2017-04-12
INNOVATION ACAD FOR PRECISION MEASUREMENT SCI & TECH CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the classical fuzzy enhancement method also has some flaws: first, the gray range of the output image is almost constant, which indicates that this method is not suitable for dealing with degraded images with few gray levels and low contrast; second, the range of the membership function is not One canonical form; the third is the lack of optimization conditions for image enhancement

Method used

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  • An Image Enhancement Method Based on Intuitionistic Fuzzy Sets
  • An Image Enhancement Method Based on Intuitionistic Fuzzy Sets
  • An Image Enhancement Method Based on Intuitionistic Fuzzy Sets

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Embodiment

[0038] figure 1 It is a schematic block diagram of the structure of the embodiment of the present invention. It mainly includes: image input, sub-image region division, foreground and background region segmentation, blurring, membership degree adjustment, deblurring and weighted summation.

[0039] Step 1, input an image, sub-image area division:

[0040] For an image (I) whose size is M×N, the image is divided into a series of size M t ×N t sub-images of , t=1,...,L, where L is the number of sub-images, for example, as figure 1 and Figure 4 As shown, the brain magnetic resonance (MRI) image is divided into left and right parts by falx cerebrum.

[0041] Step 2, for each sub-image, the foreground area and the background area are segmented:

[0042] For each sub-image (A) obtained through step 1, use the threshold Segment the sub-image into foreground regions (Ω O ) and the background area (Ω B ), for example, using the Otsu threshold method to segment foreground and...

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Abstract

The invention discloses an image enhancement method based on intuitionistic fuzzy sets, which can effectively improve the image quality of weak edge noise, and relates to the technical field of digital image processing. The present invention utilizes the theory of intuitionistic fuzzy sets to propose a new intuitionistic fuzzy operator, and then through the self-adaptive operation on the membership degree plane, the membership degree of the pixels in the foreground area is increased, the membership degree of the pixels in the background area is reduced, and finally through the inverse transformation Acquire high-quality images, thereby selectively highlighting or suppressing specific information of the image, making it more suitable for human visual characteristics or recognition functions of other systems.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an image enhancement method based on intuitionistic fuzzy sets. Background technique [0002] In quite a few occasions, due to the pollution of different types of noise, or the limitations of physical properties such as imaging equipment and image transmission equipment, the quality of optical or medical images is seriously degraded, the contrast is poor, and the image edges and regions of interest are blurred. Image enhancement processing technology improves image quality in order to obtain high-quality images under visual perception or certain optimal criteria. There are two main types of image enhancement technologies, spatial domain and frequency domain, whose purpose is to selectively highlight or suppress specific information of the image, thereby adjusting the contrast of the image, smoothing the region of interest of the image, or sharpening the edge and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 周欣邓鹤孙献平刘买利叶朝辉
Owner INNOVATION ACAD FOR PRECISION MEASUREMENT SCI & TECH CAS
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