Title :
On an image segmentation method for forest fire metrology
Author :
Rudz, Steve ; Sero-Guillaume, O. ; Chetehouna, K. ; Hafiane, A. ; Laurent, H.
Author_Institution :
Lab. LEMTA, Vandoeuvre, France
Abstract :
The improvement of forest fire metrology tools constitutes a crucial step towards firefighting means optimization. In this context, the aim of this work is to extract accurately fire regions in images. Chrominance channels of Lab, YUV and YCbCr color spaces are investigated to find a discriminative channel for fire pixels segmentation. Based on an optimized k-means clustering in the Cb-channel of YCbCr and on distribution properties of fire pixels in the RGB color space, a new method is proposed. The performances of this method are first qualitatively presented. A quantitative evaluation is then conducted using three supervised evaluation criteria based on expert annotations. Finally, a comparative study is performed with other existing algorithms assessing the good behavior of the proposed image processing method.
Keywords :
forestry; image colour analysis; image segmentation; RGB color space; chrominance channels; discriminative channel; fire pixels segmentation; forest fire metrology; image segmentation method; Fires; Image segmentation; Metrology;
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921