Abstract: Karyotyping is a technique used to display and study the human chromosomes for detecting abnormalities, genetic disorders or defects. M-FISH (Multiplex Fluorescent In-Situ Hybridization) provides color karyotyping. In this paper, naive Bayes classification of M-FISH chromosome images based on watershed based chromosome segmentation is presented. It is observed that the classification of the watershed regions by using the naive Bayes classifier works better than pixel by pixel classification. By adding the feature, standard deviation along with mean of each region, improved classification accuracy was observed. The approach was tested on a database and found to provide an accuracy of 73%.

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-663
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Abstract: This paper presents the implementation of an adaptive edge-detection using Simulink. Simulink is a simulation modeling and design tool and GUI based diagram environment. The Simulink based customizable framework is designed for rapid simulation, implementation, and verification of video and image processing algorithms and systems. An edge is the boundary between an object and the background, and indicates the boundary between overlapping objects.The Edge detection process detects outlines of an object, scene text and boundaries between objects and the background in the video image. Edge detection is in the forefront of video processing for object detection, it is crucial to have a good understanding of edge detection methods. Edges characterize boundaries and edge detection is one of the most difficult tasks in image processing hence it is a problem of fundamental importance in image processing.In this work the comparative analysis of various video image edge detection methods is like

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-668
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• Downloads: 0