DocumentCode
1668254
Title
Ghost removal method for image morphing using co-occurrence frequency image
Author
Nagasaka, Y. ; Fujiwara, Toshihito ; Funahashi, Takuma ; Koshimizu, Hiroyasu
Author_Institution
Sch. of Inf. Sci. & Technol., Chukyo Univ., Toyota, Japan
fYear
2013
Firstpage
213
Lastpage
219
Abstract
Many image morphing methods require feature points meaning correspondence points between the input images by the hand. If user does not add feature points in detail, a noise called “ghost” appears in the output image. We propose a ghost removal method which extracts detailed feature points to modify a texture correspondence. The proposed method can remove the ghost at the textures having different gray values between the images.
Keywords
feature extraction; image colour analysis; image denoising; image morphing; image texture; cooccurrence frequency image; correspondence points; feature points extraction; ghost removal method; image gray value; image morphing; noise; texture correspondence; Computer vision; Conferences; Feature extraction; Image edge detection; Interpolation; Joints; Noise; Image morphing; co-occurrence frequency image; ghost removal; texture correspondence;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location
Incheon
Print_ISBN
978-1-4673-5620-6
Type
conf
DOI
10.1109/FCV.2013.6485490
Filename
6485490
Link To Document