Novel and Efficient Edge Detection on Color Mosaic Images with Application to Line Detection
Date Issued
2008
Date
2008
Author(s)
Wang, Chung-Chou
Abstract
In this thesis, without demosaicing process, a new and efficient edge detector is presented for color mosaic images. Combining the Prewitt mask-pair and the luminancestimation technique for mosaic images, the required mask-pair for edge detection on the input mosaic image is derived first. Then, a novel edge detector for mosaic images is presented. Our proposed edge detector has the similar resulting edge map when compared with the indirect approach which first applies the demosaicing process to the input mosaic image, and then runs the Prewitt edge detectorn the demosaiced full color image. Based on some test mosaic images, experimental results demonstrate that the average execution-time improvement ratio of our proposed edge detector over the indirect approach is about 48%. Our proposed results can also be applied to the other masks, e.g. the Sobel mask-pair and the Marr-Hildreth mask, for edge detection. Finally, the application to design a newine detection algorithm on mosaic images is investigated.
Subjects
Color filter array (CFA)
Demosaicing algorithm
Digital cameras
Edge detection
Line detection
Mosaic images
Type
thesis
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