Title :
Self-adaptation of tilted knitted fabric image
Author :
Yi Liu ; Zhigui Liu
Author_Institution :
Sch. of Inf. Eng., South West Univ. of Sci. & Technol., Mianyang, China
Abstract :
The tilting probability is tremendous when collecting knitted fabric images. It will bring mistakes, even errors, when calculating longitude density and latitude density, etc. In allusion to this problem, this paper presents an algorithm which can automatically rectify the tilted knitted fabric image based on its own characteristic, Fourier Transform and coordinate rotation formula. This algorithm can both solve the tilting problem and calculate the longitude density at the same time.
Keywords :
Fourier transforms; fabrics; image reconstruction; probability; Fourier Transform; coordinate rotation formula; image rectify; self-adaptation; tilted knitted fabric image; tilting probability; Discrete Fourier transforms; Fabrics; Licenses; Lighting; Pixel; Signal processing algorithms; knitted fabric; latitude density; longitude density; rectify; tilt;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648106