DocumentCode :
3773630
Title :
Research on Mine Belt Image Compression and Transmission Algorithm
Author :
Rui Gao;Changyun Miao;Jie Li;Yanli Yang
Author_Institution :
Sch. of Mech. Eng., Tianjin Polytech. Univ., Tianjin, China
Volume :
2
fYear :
2015
Firstpage :
271
Lastpage :
274
Abstract :
On-line damages detection of mine conveyor belt is developed by using machine vision technology. By analyzing the feature of images collected by the CCD camera for the Mine Conveyer Belt, an algorithm of JPEG encoding based on linear difference is proposed for compressing and transmission, which solves the problem of high efficiency and real-time transmission of image data. A method based on the parameter test is proposed in the algorithm for transmission error control. The algorithm can effectively reduce the amount of data transmission, and can ensure the real-time performance of the network, which has important application value in the detection system based on machine vision.
Keywords :
"Image coding","Transform coding","Belts","Discrete cosine transforms","Encoding","Charge coupled devices","Decoding"
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
Print_ISBN :
978-1-4673-9586-1
Type :
conf
DOI :
10.1109/ISCID.2015.227
Filename :
7469131
Link To Document :
بازگشت