Thresholding Technique for Color Image Segmentation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
Image processing is a form of signal processing that manipulates an image by means of a processor. Computer vision is a high level image processing that includes methods for acquiring, processing, analyzing, understanding images and high dimensional data from the real world in order to produce numerical or symbolic information. Image segmentation is one of the basic problems of the image processing and computer vision. The image is divided into a number of sets that do not mutual overlapping zones. These zones either have meaning to explain correspondence between them and the actual object or some parts of object. One of the properties of an image is color. This proposed system works on a color image segmentation method based on color space Otsu Method. In an image, one needs to isolate the objects in it and have to find relation among them. The color supposed by human is a combination of three colors such as Red, Green and Blue forms a color space. In the color image segmentation color images applying through the recursive Otsu’s method to segment the small size object and to remove the large amount of noise. The resultant image is passing through median filter for the effective result. Still the selection of the threshold value is maximum and to minimize the selection time of the image, in the pre processing step the image passes through neural network, Fuzzy logic and Ant Colony Optimization (ACO) for optimizing the threshold values and processed through the Otsu thresholding method for the better segmentation.
Authors and Affiliations
G. Parthasarathy, Dr. D. Chitra
Keywords
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