Title :
Recognition of the screen coding based on mathematical morphology
Author :
Sun Yanpeng ; Xu Jun ; Bai Wenjing
Author_Institution :
Coll. of Electron. Inf. Eng., Shen Yang Aerosp. Univ., Shen Yang, China
Abstract :
Screen coding is a new spatial domain information hiding technique, long recognition time and low recognition rate belongs to the traditional methods. Mathematical morphology algorithm has a natural parallel implementation structure. It can be applied to simplify the image data , keep the shape feature and remove the irrelevant part. In this paper, mathematical morphology algorithm is use to image denoising and edge extraction. By use of dilation operation, the influence introduced by tiny deformation is released. Experimental results indicate that this new algorithm have a higher recognition rate and it can reduce the decoding time .
Keywords :
Hough transforms; data encapsulation; edge detection; feature extraction; image coding; image denoising; mathematical morphology; security of data; Hough transform; decoding time; dilation operation; edge extraction; image data simplification; image denoising; mathematical morphology algorithm; natural parallel implementation structure; screen coding recognition; shape feature; spatial domain information hiding technique; tiny deformation; Decoding; Encoding; Image coding; Image edge detection; Morphology; Transforms; Hough transform; edge detection; filtering; mathematical morphology; recognition; screen coding;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885284