TY - GEN
T1 - Adaptive filter and morphological operators using binary PSO
AU - Sharif, Muhammad
AU - Bilal, Mohsin
AU - Khan, Salabat
AU - Jaffar, M. Arfan
PY - 2010
Y1 - 2010
N2 - Mathematical morphology is a tool for processing shapes in image processing. Adaptively finding the specific morphological filter is an important and challenging task in morphological image processing. In order to model the filter and filtering sequence for morphological operations adaptively, a novel technique based on binary particle swarm optimization (BPSO) is proposed. BPSO is a discrete PSO, where the components values of a particle position vector are either zero or one. The proposed method can be used for numerous types of applications, where the morphological processing is involved including but not limited to image segmentation, noise suppression and patterns recognition etc. The paper illustrates a fair amount of experimental results showing the promising ability of the proposed approach over previously known solutions. In particular, the proposed method is evaluated for noise suppression problem.
AB - Mathematical morphology is a tool for processing shapes in image processing. Adaptively finding the specific morphological filter is an important and challenging task in morphological image processing. In order to model the filter and filtering sequence for morphological operations adaptively, a novel technique based on binary particle swarm optimization (BPSO) is proposed. BPSO is a discrete PSO, where the components values of a particle position vector are either zero or one. The proposed method can be used for numerous types of applications, where the morphological processing is involved including but not limited to image segmentation, noise suppression and patterns recognition etc. The paper illustrates a fair amount of experimental results showing the promising ability of the proposed approach over previously known solutions. In particular, the proposed method is evaluated for noise suppression problem.
KW - Binary PSO
KW - Mathematical morphology
KW - Noise suppression
KW - Structuring element
UR - http://www.scopus.com/inward/record.url?scp=78649499381&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16167-4_67
DO - 10.1007/978-3-642-16167-4_67
M3 - Conference contribution
AN - SCOPUS:78649499381
SN - 3642161669
SN - 9783642161667
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 525
EP - 532
BT - Information Computing and Applications - First International Conference, ICICA 2010, Proceedings
T2 - 1st International Conference on Information Computing and Applications, ICICA 2010
Y2 - 15 October 2010 through 18 October 2010
ER -