TY  - JOUR
T1  - Blend Color Image Segmentation of Statistical Region Merging Algorithm
AU - Jeyakumari, D. AU - Somasundareswari, D. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 4
SP  - 765
EP  - 771
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.765.771
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.765.771
KW  - region growing
KW  -CIE L*a*b color space
KW  -Image segmentation
KW  -statistical region merging
AB  - As, there is a need of image segmentation mostly in every fields like Industrial inspection, optical character recognition and all other computer related applications. It is essential step in image processing in computer vision but also a challenging procedure. In this study, introduced blend color image segmentation algorithm to overcome varies difficulties in region based segmentation. The boundaries are located by color gradient recognition method before that RGB is converted to CIE L*a*b color space using this technique histogram is formed. The histogram then generates gradient thresholds. The gradient values are increased until region is detected in different sequence. The regions with similar characteristics are merged by using statistical region merging. This process provides a very efficient procedure for an organized image segmentation.
ER  -