Automatic region of interest extraction in food baking images
ChinaSIP（2014）
摘要
This paper presents a novel approach to automatically detect the region of interest (ROI) in food baking images. In addition to common ROI extraction and saliency extraction problems, food baking images are also subject to lighting noise, glass reflection and shadow effects. In this paper, the HSV color map is employed to effectively eliminate oven lighting effects, then a one-bit transform (1BT) with global adaptive thresholding method is performed to obtain preliminary ROI segmentation results. Further, a local contour refinement algorithm is designed to reduce glass reflection and shadow effects for extracting the ROI contour more precisely. The ROI extraction results presented in this paper can be used in compression and transmission of food baking images and videos for further analysis.
更多查看译文
关键词
bakeries,data compression,feature extraction,food technology,image colour analysis,image denoising,image segmentation,transforms,video coding,video communication,1BT,HSV color map,automatic region of interest extraction,food baking image transmission,food baking images compression,glass reflection reduction,global adaptive thresholding method,lighting noise,local contour refinement algorithm,one-bit transform,preliminary ROI segmentation,saliency extraction problem,shadow effect,video compression,video transmission,
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要