A proposed method of face image edge detection using markov basis
الباحث الأول:
Husein Hadi Abbass
الباحثين الآخرين:
Zainab Radhi Mousa
المجلة:
International Journal of Computer Science and Information Security (IJCSIS),
تاريخ النشر:
None
مختصر البحث:
Edge detection is one of the basic steps in
image processing, image pattern recognition, image analysis and computer vision techniques . it is solving many
complex problems, Edge is determined on the basis of the
boundary between two different ar…
Edge detection is one of the basic steps in
image processing, image pattern recognition, image analysis and computer vision techniques . it is solving many
complex problems, Edge is determined on the basis of the
boundary between two different areas of color intensity
in the image . In this paper we suggested edge detection
method for detection of facial expression to pick up the
edge of eyes , mouth’s and other facial expressions of a
human face image . we compare the facial expressions
for suggested method with the expressions resulting from
traditional methods to edge detection ( Sobel, Prewitt
, Kirsh , Robinson , Marr-Hildreth , LoG and Canny
Edge Detection). The method depend on a suggested
filter result from combine some elements of the markov
basis found by H.H.Abbas and H.S.Mohammed hussein
in 2014 , and Laplace filters , the results of using this
suggested method to color image or gray image is more
accuracy and clarity than traditional methods.
