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
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;
Conference_Titel :
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location :
Incheon
Print_ISBN :
978-1-4673-5620-6
DOI :
10.1109/FCV.2013.6485490