This project presents the method for the segmentation and detection of tumor …
This project presents the method for the segmentation and detection of tumor of Magnetic Resonances brain images using intuitionistic fuzzy representation and intuitionistic fuzzy divergence method. In this proposed method, skull stripping is carried out for the removal of unwanted portion from the brain image using morphology. A Restricted equivalence function from automorphisms is used for intuitionistic fuzzy representation of image. Sugeno type intuitionistic fuzzy generator is used to calculate non-membership and hesitation degree. A new distance measure, Intuitionistic Fuzzy Divergence is used to find the optimum threshold to detect the brain tumour from MR images. The results showed a much better performance on poor illuminated brain MR images, where the brain tumor is detected properly.
This course is an introduction to the process of generating a symbolic description …
This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering. Machine vision has applications in robotics and the intelligent interaction of machines with their environment. Students taking the graduate version complete additional assignments.
Working with HTML canvas element with JavaScript to reduce the color noise …
Working with HTML canvas element with JavaScript to reduce the color noise to an acceptable range for monochrome prepared for edge detection between 27color range
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