Multiple Object Detection in Images using Template Matching | Zendy

Shanmuga Priya | Zendy; Dr.K. Devaki | Zendy; S. Geethapriya | Zendy

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Multiple Object Detection in Images using Template Matching

Author(s) -

Shanmuga Priya,

Dr.K. Devaki,

S. Geethapriya

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 vision , computer science , matching (statistics) , noise (video) , process (computing) , pattern recognition (psychology) , transformation (genetics) , object detection , 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

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