Title :
DifFocus: An approach for image segmentation
Author :
Costa, Diogo C. ; Tsang, Ing R. ; Mello, Carlos A B
Author_Institution :
Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
Abstract :
A new multi-focus analysis method for image segmentation, based on human visual system focal attention and focusing phenomena, is presented. The main goal is to develop a fast and accurate segmentation algorithm, suitable for real-time applications, such as robotics and autonomous vehicles. The difFocus shows to be fast enough and it achieved the 8th place in the Berkeley Segmentation Benchmark global ranking for both color and grayscale image segmentation. It also shows to be robust to parameter selection, achieving promising results.
Keywords :
image segmentation; Berkeley segmentation benchmark global ranking; autonomous vehicle; difFocus; grayscale image segmentation algorithm; human visual system focal attention; multifocus analysis method; parameter selection; real-time application; Benchmark testing; Focusing; Humans; Image color analysis; Image edge detection; Image segmentation; Image segmentation; edge detection; human vision; image processing; multi-focus analysis;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6083913
