Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition

Tiantian Tang
Tiantian Tang
Xue Xia
Xue Xia
Jinting Shi
Jinting Shi

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, pp. 2078-2093, 2019.

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Abstract:

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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