Loading...
Search for: stochastic-cellular-learning-automata
0.006 seconds

    Body Skin Detection in Colour Image

    , M.Sc. Thesis Sharif University of Technology Fotouhi, Mehran (Author) ; Kasaie, Shohreh (Supervisor)
    Abstract
    In recent years, there has been a growing research interest in segmenting skin regions in color images. Skin segmentation aims at locating skin regions in an unconstrained input image. Skin detection is considered as an important preprocess in many applications such as face detection, face tracking, and filtering of objectionable web images. The most attractive properties of skin detection include low computational cost, increase of the total processing speed, and being invariance against rotation, scale, partial occlusion, and pose change. Because of the diversity of various image processing tasks, there exists no optimum method that can perform properly for all applications. Most of the... 

    Cellular Learning Automata and Its Applications in Pattern Recognition

    , M.Sc. Thesis Sharif University of Technology Ahangaran, Meysam (Author) ; Beigy, Hamid (Supervisor)
    Abstract
    Cellular learning automata (CLA) is a distributed computational model that is introduced recently. This model is combination of cellular automata (CA) and learning automata (LA) and is used in many applications such as image processing, channel assignment in cellular networks, VLSI placement, rumor diffusion and modeling of commerce networks, and obtained acceptable results in these applications. This model consists of computational units called cells and each cell has one or more learning automata. In each stage, each automaton chooses an action from its actions set and applies it to the environment. Each cell has some neighboring cells that constitute its local environment. The local rule...