FUZZY BASED CONTRAST STRETCHING FOR MEDICAL IMAGE ENHANCEMENT

Contrast Stretching is an important part in medical image processing applications. Contrast is the difference between two adjacent pixels. Fuzzy statistical values are analyzed and better results are produced in the spatial domain of the input image. The histogram mapping produces the resultant imag...

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Bibliographic Details
Main Authors: T.C. Raja Kumar, S. Arumuga Perumal, N. Krishnan
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2011-07-01
Series:ICTACT Journal on Soft Computing
Subjects:
Online Access:http://ictactjournals.in/paper/IJSC_Vol2_Iss1_233_236.pdf
Description
Summary:Contrast Stretching is an important part in medical image processing applications. Contrast is the difference between two adjacent pixels. Fuzzy statistical values are analyzed and better results are produced in the spatial domain of the input image. The histogram mapping produces the resultant image with less impulsive noise and smooth nature. The probabilities of gray values are generated and the fuzzy set is determined from the position of the input image pixel. The result indicates the good performance of the proposed fuzzy based stretching. The inverse transform of the real values are mapped with the input image to generate the fuzzy statistics. This approach gives a flexible image enhancement for medical images in the presence of noises.
ISSN:0976-6561
2229-6956