Image Enhancement Emphasizing Edges and Local Details

• Main Authors: Chao Ku, 古超
• Other Authors: Ja-Chen Lin
• Format: Others
• Language: en_US
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/53888698654134940688

碩士 === 國立交通大學 === 資訊科學學系 === 83 === In this paper, we propose an image enhancement system that emphasizes edges and local details. First, we use the Sobel operator to get the rough distribution of the edges of the input image. Two thresholds, called the high-threshold and low- threshold, are used in the Sobel operator to obtain two images. These two images are then processed using a 7x7 filter to remove the noises around the edges, followed by some morphological operations and a thinning process. Two different edge images are then obtained. Through some processing, we can combine the two edge images to get a better edge image. The edge image and a coloring skill based on clustering can then generate a rough region graph. Some local histogram equalization methods are then applied to the detected regions. The obtained image and the edge image are then combined to get the final output. Experimental results are included to prove the feasibility.