Open AccessIMAGE DETECTION, CLASSIFICATION AND RECOGNITION FOR LEAK DETECTION IN AUTOMOBILES
Author(s) -
S. Manoharan
Publication year - 2019
Publication title -
journal of innovative image processing
Language(s) - English
Resource type - Journals
ISSN - 2582-4252
DOI - 10.36548/jiip.2019.2.001
Subject(s) - leakage (economics) , computer science , leak detection , artificial intelligence , matlab , image processing , computer vision , pace , pattern recognition (psychology) , object detection , leak , image (mathematics) , engineering , geodesy , environmental engineering , economics , macroeconomics , geography , operating system
The Demands in quality of the automobile production grows at a rapid pace with the pressure to reduce costs of the automobiles further. So it becomes necessary to subject the critical components for the leakage detection to enhance the overall quality and the customer satisfaction. Apart from the conventional methods and the recently evolved methods in leakage detection for the automobiles, the paper tries to put forth a novel method for the detection of the leakage in the automobiles using the image processing techniques. The proposed method concentrates on the image detection, classification and recognition for the leak detection of the air conditioning in the automobiles. The proposed method of image detection is evaluated using the MATLAB to evince accuracy in the leakage detection, classification and recognition