CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Watershed color image segmentation based on prior knowledge
Liu, Jialu; Yang, Minghui; Peng, Silong,; Liu JL(刘佳璐)
Source PublicationComputer Engineering
2006
Volume32(21)Issue:2006年11期Pages:pp 28-30 (EI)
AbstractThis paper proposes a new image segmentation algorithm based on watershed transformation combined color information and uses Bayesian inference on this watershed image.It transforms RGB color image to LUV space,uses watershed transformation based this color image.This paper calculates the energy of the label image result from the color image watershed transformation by designing a prior density that penalizes the area of homogeneous parts in images.The segmentation problem is the maximizing a posteriori estimation of the set of object area result from the watershed labeled.Then could find the optimal area of object,and the other area of the image looked upon background area.This algorithm not only solves the over-segmentation problems of watershed transformation,but also uses color information and prior knowledge.The experiments indicate the algorithm is effective for image segmentation.
KeywordBayesian Framework / luv Color Space / watershed Transformation / map Estimation
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12978
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorLiu JL(刘佳璐)
Recommended Citation
GB/T 7714
Liu, Jialu,Yang, Minghui,Peng, Silong,,et al. Watershed color image segmentation based on prior knowledge[J]. Computer Engineering,2006,32(21)(2006年11期):pp 28-30 (EI).
APA Liu, Jialu,Yang, Minghui,Peng, Silong,,&刘佳璐.(2006).Watershed color image segmentation based on prior knowledge.Computer Engineering,32(21)(2006年11期),pp 28-30 (EI).
MLA Liu, Jialu,et al."Watershed color image segmentation based on prior knowledge".Computer Engineering 32(21).2006年11期(2006):pp 28-30 (EI).
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