Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, pp. 2078-2093, 2019.
Visual smoke recognition is a challenging task due to large variations in shape, texture and color of smoke. To improve performance, we propose a novel smoke recognition method by combining dual-encoded features that are extracted from both spatial and Curvelet domains. A Curvelet transform is used to filter an image to generate fifty sub...More
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