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Algorithm for Size Statistic and Clustering of Block Image Sequences

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DOI: 10.23977/acss.2016.11004 | Downloads: 57 | Views: 6313

Author(s)

Zou Shaoli 1, Li Cong 2

Affiliation(s)

1 No 5 Shanda Road, A judge in Shandong Training College, Jinan, China
2 No 106 Jiweit Road, School of Electrical Engineering, University of Jinan, Jinan, China

Corresponding Author

Li Cong

ABSTRACT

The statistic algorithm for image processing, block clustering and block size is proposed according to the block image sequences. For complicated and regular distribution block image. Firstly, we get the binary picture, and calculate the ratio of the edge and ground and the maximum distance between the two edges by the pixel scanning method, then we can get the data sample of the size and block size distribution at the same time. Secondly, using the improved nearest neighbor algorithm[5], we get the block size classification, and the percentage of each regional size in the whole area. Computer emulate result proved that this method meets the demands of the real-time image processing better for its advantage as follows: the small calculation, the high precision. The algorithm will lay a solid foundation for the operating mode analysis and automatic control. 

KEYWORDS

Shot blasting machine; Programmable logic controller; Ethernet; Kingview; Monitoring

CITE THIS PAPER

Cong, L. and Shaolin, Z. (2016) Algorithm for Size Statistic and Clustering of Block Image Sequences. Advances in Computer, Signals and Systems (2016) 1: 18-22.

REFERENCES

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[4] SHI Pei-yuan, DENG Tingquan. Fuzzy-based color recognition and its application in image retrieval. Computer Engineering and Applications[J], 2013, 49(18):138-141.
[5] Li Cong, Zhang Yong, Gao Zhi. A new clustering algorithm [J]. Pattem Recognition and Aitificial Intelligence. 1999,12(2):205-208.

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