In order to reduce the running time of the algorithm
Wolf pack algorithm and 2-D Otsu algorithm were studied
an Otsu image segmentation method based on improved Wolf pack optimization algorithm was proposed.In order to promote the exchange of information between the wolves
improve the accuracy of searching the best threshold
solving the current local optimal of PSO algorithm and scouting behavior
summoning behavior of Wolf Pack Algorithm were combined.An adaptive beleaguering strategy was introduced into beleaguered behavior
improve accuracy
the sub-optimal solution was optimized by chaos method to avoid local extreme.The results show that the algorithm not only reduces the segmentation time
but also improves the segmentation accuracy.
关键词
Keywords
references
Sczgin M, Sankur B. Survey over image t-hresholding techniques and quantitative perfo-rmance evaluation[J]. Journal of Electronic I-maging, 2004, 13(1): 146-168. DOI: 146
Sthitpattanapongsa P, Srinark T. A two-stage OTSU's thresholding based method on a 2D histogram[C]//Proc of IEEE International Conference on Intelligent Computer Communication and Processing. Cluj-Napoca, Romania, 2011: 345-348.
Abutaleb A S. Automatic thresholding of gray-level pictures using two-dimensional entr-opy[J]. Computer Vision, Graphics and Image Processing, 1989, 47(1): 22-32. DOI: 22