Range limited double-thresholds multi-histogram equalization for image contrast enhancement
| Autor: | Ning Liu, Qian Chen, Chunhua Yang, Chao Zuo, Xu Honglie |
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| Rok vydání: | 2015 |
| Předmět: |
Brightness
Balanced histogram thresholding Computer science business.industry Histogram matching Thresholding Atomic and Molecular Physics and Optics Computer Science::Computer Vision and Pattern Recognition Histogram Adaptive histogram equalization Computer vision Artificial intelligence business Image histogram Histogram equalization |
| Zdroj: | Optical Review. 22:246-255 |
| ISSN: | 1349-9432 1340-6000 |
| Popis: | Thresholding segmentation method is the commonly applied technique for extracting objects from the background of the image. If the single object in the image is clearly distinguishable from the background, the histogram of the image would be bimodal and the threshold can be easily chosen at the bottom of the histogram valley. However, histograms are not always bimodal. Thus, new methods are required to solve this problem. This paper raises a novel contrast enhancement method called range limited double-threshold multi-histogram equalization (RLDTMHE). First, we deduce the Otsu’s double-thresholds method, and divide the image into three parts with the double thresholds. In order to preserve the brightness, range of the equalized image is calculated to yield minimum absolute mean brightness error (AMBE) between the output image and the original one. Finally, each sub-image is equalized independently using the new range. Experiment results show that our algorithm obtains more clear details, while keeping the brightness of the original image very well. |
| Databáze: | OpenAIRE |
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