Open AccessMultiple Object Detection in Images using Template Matching
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a5187.119119
Subject(s) - template matching , artificial intelligence , computer science , computer vision , matching (statistics) , pattern recognition (psychology) , noise (video) , process (computing) , transformation (genetics) , image (mathematics) , mathematics , biochemistry , statistics , chemistry , gene , operating system
Template matching is an application in computer vision for finding similar objects between the images. Template matching is a key component in image analysis process for mapping similar patterns between images. The detection and matching of objects has gained widespread application in quality control, manufacturing and medical applications. The major challenges in template matching process are occlusion, background noise and non-rigid transformation particularly in medical images. The present work proposes a template matching method based on correlation analysis techniques to detect multiple objects occurrence in an image. The method has been experimented for various real-time applications. In medical images, the proposed method gave an accuracy of 86% in detecting the nodules in lung CT images