Title :
Average Row Thresholding Method for Mammogram Segmentation
Author :
AbuBaker, Ayman A. ; Qahwaji, R.S. ; Aqel, Musbah J. ; Saleh, Mohmmad H.
Author_Institution :
Sch. of Informatics, Bradford Univ.
Abstract :
Two novel threshold techniques are proposed for image segmentation which is a very critical task in any image processing. The two methods are based in scanning each image row by row and to find the proper threshold value. A modification of this method is developed to find the threshold value by average. The two methods are implemented on a mammogram and accordingly, a comparison between the two methods is carried out
Keywords :
image segmentation; mammography; medical image processing; average row thresholding; image processing; image segmentation; mammogram; Digital images; Entropy; Fuzzy neural networks; Histograms; Image analysis; Image edge detection; Image processing; Image segmentation; Informatics; Neural networks; image processing; image segmentation; mammogram segmentation; threshold techniques;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617179
