DocumentCode
1791263
Title
An improved detection algorithm of snowflake noise based on spatial domain
Author
Meili Zhong ; Zhenkuan Pan ; Weibo Wei ; Guodong Wang ; Yaoyao Niu ; Xin Wu
Author_Institution
Coll. of Inf. Eng., Qingdao Univ., Qingdao, China
fYear
2014
fDate
14-16 Oct. 2014
Firstpage
6
Lastpage
10
Abstract
The snowflake noise can bring many problems to the video detection, so we propose an efficient method based on video surveillance, which is to solve the detection of snowflake noise. This method is based on the basic features of snowflake noise. We extract video frame from the video, pick up the complacent pixel point, and get rid of the edge and some interference factor. Then the intermediate results will be normalized to give the final results. Through this method, we can accurately locate the position of the snowflake noise and give an alarm quickly.
Keywords
edge detection; feature extraction; image denoising; video surveillance; complacent pixel point; improved detection algorithm; interference factor; snowflake noise detection; spatial domain; video frame extraction; video surveillance; Interference; Quality assessment; Signal to noise ratio; Snow; Vectors; Video surveillance; Recognition rate; edge removal; false detection rate; snowflake noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location
Dalian
Type
conf
DOI
10.1109/CISP.2014.7003740
Filename
7003740
Link To Document