Specularity detection method based on MSER. Issue 18 (1st August 2013)

• Record Type: Journal Article
• Authors: Zhu, H.; Gao, C.; Guo, Y.; Shao, Y.
• Is Part Of: Electronics letters. Volume 49:Issue 18(2013)
• Page Start: 1138
• Page End: 1140
• Publication Date: 2013-08-01
• Subjects: image processing -- lighting -- object detection; dielectric surfaces -- metal surfaces -- surface material -- illumination condition -- specularity characteristics -- maximally stable extremal regions detector -- single image -- MSER‐based specularity detection method; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.2306
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A new algorithm for specularity detection using a single image, which is based on the maximally stable extremal regions (MSER) detector, is presented. This algorithm takes full advantage of the characteristics of specularity and requires no assumptions. For this reason, it separates specularities very well regardless of the illumination condition and the surface material. To illustrate the effectiveness of the prposed algorithm, experiments are performed using the images of both dielectric and metal surfaces. Experimental results show that the presented approach outperforms the traditional methods from the point of view of sensitivity to correctness.