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A new gray value retention histogram equalization
- Source :
- 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI).
- Publication Year :
- 2012
- Publisher :
- IEEE, 2012.
-
Abstract
- In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can reduce the adverse effects of the gray-scale mergering and retain more image details. This method has been improved in this paper, we use Measure of Medium Truth Degree to determine which is better, the method retains high gray-level or the one retains the low gray-level.
- Subjects :
- Color histogram
Shadow and highlight enhancement
Balanced histogram thresholding
Color normalization
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Histogram matching
Pattern recognition
equipment and supplies
body regions
ComputingMethodologies_PATTERNRECOGNITION
nervous system
Computer Science::Computer Vision and Pattern Recognition
Computer Science::Multimedia
Computer vision
Adaptive histogram equalization
sense organs
Artificial intelligence
business
Histogram equalization
Image histogram
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)
- Accession number :
- edsair.doi...........2159af9f4c9d4e29a0180ea6276dd4d7