jse.11.4.13817 Faster Image Segmentation and Classification Using Machine Learning and Parallel Processing Shaik Naseera PRANJAL SRIVASTAVA APOORV GUPTA SWARNA LAKSHMI MAHAK GUPTA Journal on Software Engineering 2230–7168 11 4 18 23 10.26634/jse.11.4.13817 Haar Cascades, Image Segmentation, CPU Process, Deadlock, Scheduling, Threading It is required to study images by using computer vision for modern intelligent applications. But it is often found that it is very difficult to apply computer vision on daily appliances as computer vision requires high processing power and consumes heavy hardware when under use. Thus it becomes difficult for a normal system to work on the schematics of computer vision for processing the environment. Hence the authors propose a novel model of image segmentation and classification by using the principles of operating systems and parallel processing to speed up the current image segmentation algorithms and reduce the current CPU usage. April - June 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13817