Title :
A Textile Image Separation Algorithm Based on BP Network
Author :
Yang Xu ; Zhou Hui ; Guo Shao-Cui ; Yang Jing-bo
Author_Institution :
Inst. of Software Eng., Yantai Vocational Inst., Yantai, China
Abstract :
At present, the textile image is separated by manpower with low efficiency. In order to deal with this problem, this paper proposes a novel algorithm for textile image separation based on back propagation artificial neural network. The factors that can affect the result of image separation are the RGB values of a pixel itself, the color of its adjacent pixels, and its boundary probability. According to these factors, we construct a model of BP network and train it with a group of samples that are made up of feature areas of a textile image with noise. After trained, the BP network can be used for textile image separation. Finally we designed an experiment- use the BP network to separate three textile images. The result of the experiment shows that the algorithm is simple, feasible, and can decrease the people´s work.
Keywords :
backpropagation; image colour analysis; neural nets; probability; textiles; BP network; back propagation artificial neural network; boundary probability; textile image separation algorithm; Artificial neural networks; Clustering algorithms; Colored noise; Information science; Neural networks; Neurons; Pixel; Software algorithms; Software engineering; Textiles;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.195