TY - GEN
T1 - A novel approach for edge detection of images
AU - Ganguly, Debashis
AU - Mukherjee, Swarnendu
AU - Mitra, Kheyali
AU - Mukherjee, Partha
PY - 2009/6/8
Y1 - 2009/6/8
N2 - Edge detection is a problem of fundamental importance in image analysis. Many approaches for edge detection have already revealed more are waiting to be. But edge detection using K-means algorithm is the most heuristic and unique approach. In this paper, we have proposed an algorithmic technique to detect the edge of any kind of true gray scale images considering the artificial features of the image as the feature set which is fed to K-Means algorithm for clustering the image and there to detect clearly the edges of the objects present in the considered image. The artificial features, which we have considered here, are mean, standard deviation, entropy and busyness of pixel intensity values.Keywords: Edge-detection, K-means algorithm, gray scale images, artificial feature, cluster, mean, standard deviation,entropy, busyness.
AB - Edge detection is a problem of fundamental importance in image analysis. Many approaches for edge detection have already revealed more are waiting to be. But edge detection using K-means algorithm is the most heuristic and unique approach. In this paper, we have proposed an algorithmic technique to detect the edge of any kind of true gray scale images considering the artificial features of the image as the feature set which is fed to K-Means algorithm for clustering the image and there to detect clearly the edges of the objects present in the considered image. The artificial features, which we have considered here, are mean, standard deviation, entropy and busyness of pixel intensity values.Keywords: Edge-detection, K-means algorithm, gray scale images, artificial feature, cluster, mean, standard deviation,entropy, busyness.
UR - http://www.scopus.com/inward/record.url?scp=66249137751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66249137751&partnerID=8YFLogxK
U2 - 10.1109/ICCAE.2009.39
DO - 10.1109/ICCAE.2009.39
M3 - Conference contribution
AN - SCOPUS:66249137751
SN - 9780769535692
T3 - Proceedings - 2009 International Conference on Computer and Automation Engineering, ICCAE 2009
SP - 49
EP - 53
BT - Proceedings - 2009 International Conference on Computer and Automation Engineering, ICCAE 2009
T2 - 2009 International Conference on Computer and Automation Engineering, ICCAE 2009
Y2 - 8 March 2009 through 10 March 2009
ER -