Image enhancement method based on intuitional fuzzy set

An intuitive fuzzy set, image enhancement technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of low contrast, few gray levels, and the range of membership functions is not a canonical form.

Active Publication Date: 2015-03-25
INNOVATION ACAD FOR PRECISION MEASUREMENT SCI & TECH CAS
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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

Method used

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  • Image enhancement method based on intuitional fuzzy set
  • Image enhancement method based on intuitional fuzzy set
  • Image enhancement method based on intuitional fuzzy set

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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 relates to the technical field of digital image processing, and discloses an image enhancement method based on an intuitional fuzzy set so as to effectively improve the quality of a weak-edge noise image. Based on the intuitional fuzzy set theory, a new intuitional fuzzy operator is provided; then, through self-adaptation operation on a membership plane, the membership of pixel points in a foreground area is increased, and the membership of pixel points in a background area is decreased; finally, through inverse transformation, a high-quality image is acquired. Specific information of the image is selectively highlighted or restrained, so that the image is more suitable for visual characteristics of humans 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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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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