Feature Enhancement Using Gradient Salience on Thermal Image

IEEE Computer Society
Publication Type:
Conference Proceeding
Proceedings. 2010 Digital Image Computing: Techniques and Applications (DICTA 2010), 2010, pp. 556 - 562
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010000754OK.pdf1.99 MB
Adobe PDF
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use the statistical properties of gradient of foreground object profiles, and formulate object features with gradient saliency. Empirical evaluation of the proposed approach shows significant performance improved on human contours which can be used for detection and classification.
Please use this identifier to cite or link to this item: