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A novel real-time video mosaic block detection based on intensity order and shape feature
Author(s): Qian Zhou; Lei Lei; Jiao Long; Hao Zhang; Jinshuang Hu; Jiashu Zhang
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Paper Abstract

In this paper, we proposed a novel real-time mosaic block detection method based on intensity order and shape feature to automatically detect mosaic blocks in video. In the proposed method, the video frame is firstly converted to gray image, and it is divided into several layers according to the gray-scale levels to obtain the binary images. Secondly, performed the morphological operations on binary image include dilation and erosion to exclude the influence of single pixel and small area. Finally, extracted the shape features of connected domain of each binary image are used to detect the mosaic block. Experiments show that the proposed method can effectively detect the abnormal image which containing mosaic blocks in video and has the good performance on accuracy.

Paper Details

Date Published: 9 August 2018
PDF: 5 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062M (9 August 2018); doi: 10.1117/12.2503840
Show Author Affiliations
Qian Zhou, Guizhou Power Grid Communication Equipment Co., Ltd. (China)
Lei Lei, Southwest Jiaotong Univ. (China)
Jiao Long, Southwest Jiaotong Univ. (China)
Hao Zhang, Southwest Jiaotong Univ. (China)
Jinshuang Hu, Southwest Jiaotong Univ. (China)
Jiashu Zhang, Southwest Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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