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Binarization Method Based on Pixel-level Dynamic Thresholds for Change Detection in Image Sequences

並列摘要


A new change detection scheme with enhanced tolerance to noises and illumination changes is proposed in this paper. In addition to computing a global threshold for an entire target image, a dynamically adjusted cumulative histogram is computed to find the most suitable threshold for every pixel in the target image. A binarization method is designed to integrate the global threshold and the dynamic thresholds. The adoption of pixel-level dynamic thresholds makes the proposed method more robust. Experimental results show that the proposed scheme is able to locate motion pixels more accurately and work well under various kinds of illumination conditions.

被引用紀錄


黃增輝(2012)。植基於電腦視覺之道路標線辨識技術之研究與實作〔碩士論文,國立虎尾科技大學〕。華藝線上圖書館。https://doi.org/10.6827/NFU.2012.00052
CHENG, H. Y. (2006). 視訊分析應用於智慧型運輸系統中之先進車輛控制與安全服務 [doctoral dissertation, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917343149
Chen, C. C. (2007). 影像序列移動偵測之研究 [master's thesis, National Taichung University of Science and Technology]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0061-1811200915323524

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