ADAPTIVE FUZZY IMAGE ENHANCEMENT BASED ON EDGE DETECTION
碩士 === 大同大學 === 電機工程學系(所) === 100 === To overcome the drawbacks of the traditional Pal and King’s algorithm, a new algorithm of adaptive fuzzy image enhancement based on edge detection is proposed in this thesis. We apply the edge detection to find the edges of images and then set the mean of edges...
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| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/59080871834079101984 |
| Summary: | 碩士 === 大同大學 === 電機工程學系(所) === 100 === To overcome the drawbacks of the traditional Pal and King’s algorithm, a new algorithm of adaptive fuzzy image enhancement based on edge detection is proposed in this thesis. We apply the edge detection to find the edges of images and then set the mean of edges as the threshold to obtain the crossover point for edge preserving. Using the crossover point, we devise a new membership function and construct a new contrast intensification operator to achieve effective fuzzy image enhancement. The experimental results show that the proposed algorithm can enhance the contrast and preserve better details for different types of images.
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