A novel real-time video mosaic block detection based on intensity order and shape feature

Qian Zhou; Lei Lei; Jiao Long; Hao Zhang; Jinshuang Hu; Jiashu Zhang

doi:10.1117/12.2503840

9 August 2018 A novel real-time video mosaic block detection based on intensity order and shape feature

Qian Zhou, Lei Lei, Jiao Long, Hao Zhang, Jinshuang Hu, Jiashu Zhang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108062M (2018) https://doi.org/10.1117/12.2503840
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Qian Zhou, Lei Lei, Jiao Long, Hao Zhang, Jinshuang Hu, and Jiashu Zhang "A novel real-time video mosaic block detection based on intensity order and shape feature", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062M (9 August 2018); https://doi.org/10.1117/12.2503840

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KEYWORDS

Mosaic detectors

Video

Binary data

Feature extraction

Edge detection

Shape analysis

Actinium

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