Real-time image segmentation for anomaly detection using SVM

S. Bouillant; Johel Miteran; Michel Paindavoine; El-Bay Bourennane; P. Bourgeat

doi:10.1117/12.515163

1 May 2003 Real-time image segmentation for anomalies detection using SVM approximation

S. Bouillant, Johel Miteran, Michel Paindavoine, El-Bay Bourennane, P. Bourgeat

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515163
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

Abstract

In this paper, we propose a method of implementation improvement of the decision rule of the support vector machine, applied to real-time image segmentation. We present very high speed decisions (approximately 10 ns per pixel) which can be useful for detection of anomalies on manufactured parts. We propose an original combination of classifiers allowing fast and robust classification applied to image segmentation. The SVM is used during a first step, pre-processing the training set and thus rejecting any ambiguities. The hyperrectangles-based learning algorithm is applied using the SVM classified training set. We show that the hyperrectangle method imitates the SVM method in terms of performances, for a lower cost of implementation using reconfigurable computing. We review the principles of the two classifiers: the Hyperrectangles-based method and the SVM and we present our combination method applied on image segmentation of an industrial part.

Citation Download Citation

S. Bouillant, Johel Miteran, Michel Paindavoine, El-Bay Bourennane, and P. Bourgeat "Real-time image segmentation for anomalies detection using SVM approximation", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515163

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available