%0 Journal Article %1 noauthororeditor %A C.Sujatha, %A Selvathi, Dr. D. %D 2012 %J International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) %K Biorthogonal Debauchies Figure Gabor Haar Merit Noise Peak Signal Simplified Symlet detection edge of ratio to wavelet %N 3 %P 99-115 %R 10.5121/ijcseit.2012.2307 %T AN OPTIMAL SOLUTION FOR IMAGE EDGE DETECTION PROBLEM USING SIMPLIFIED GABOR WAVELET %U http://airccse.org/journal/ijcseit/papers/2312ijcseit07.pdf %V 2 %X Edge detection plays a vital role in computer vision and image processing. Edge of the image is one of the most significant features which are mainly used for image analyzing process. An efficient algorithm for extracting the edge features of images using simplified version of Gabor Wavelet is proposed in this paper. Conventional Gabor Wavelet is widely used for edge detection applications. Due do the high computational complexity of conventional Gabor Wavelet, this may not be used for real time application. Simplified Gabor wavelet based approach is highly effective at detecting both the location and orientation of edges. The results proved that the performance of proposed Simplified version of Gabor wavelet is superior to conventional Gabor Wavelet, other edge detection algorithm and other wavelet based approach. The performance of the proposed method is proved with the help of FOM, PSNR and Average run time.

@article{noauthororeditor, abstract = {Edge detection plays a vital role in computer vision and image processing. Edge of the image is one of the most significant features which are mainly used for image analyzing process. An efficient algorithm for extracting the edge features of images using simplified version of Gabor Wavelet is proposed in this paper. Conventional Gabor Wavelet is widely used for edge detection applications. Due do the high computational complexity of conventional Gabor Wavelet, this may not be used for real time application. Simplified Gabor wavelet based approach is highly effective at detecting both the location and orientation of edges. The results proved that the performance of proposed Simplified version of Gabor wavelet is superior to conventional Gabor Wavelet, other edge detection algorithm and other wavelet based approach. The performance of the proposed method is proved with the help of FOM, PSNR and Average run time. }, added-at = {2018-06-05T07:04:44.000+0200}, author = {C.Sujatha and Selvathi, Dr. D.}, biburl = {https://www.bibsonomy.org/bibtex/28fc674a30eae967839a728ce465bc129/ijcseit}, doi = {10.5121/ijcseit.2012.2307}, interhash = {2844a8e489094685d74bd08ea3a25372}, intrahash = {8fc674a30eae967839a728ce465bc129}, issn = {2231-3117 [Online] ; 2231-3605 [Print]}, journal = {International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)}, keywords = {Biorthogonal Debauchies Figure Gabor Haar Merit Noise Peak Signal Simplified Symlet detection edge of ratio to wavelet}, language = {English}, month = jun, number = 3, pages = {99-115}, timestamp = {2018-06-05T07:04:44.000+0200}, title = {AN OPTIMAL SOLUTION FOR IMAGE EDGE DETECTION PROBLEM USING SIMPLIFIED GABOR WAVELET}, url = {http://airccse.org/journal/ijcseit/papers/2312ijcseit07.pdf}, volume = 2, year = 2012 }