期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2013
卷号：2
期号：7
页码：2309-2313
出版社：IJECS
摘要：Image classification is most emerging area in today’s world. Variety of images classified usingdifferent methods. In this paper image classification based on two different approaches Artificial neuralnetwork and Neurofuzzy system and it is seen that Neurofuzzy system is better classification technique thanANN. The design used the discrete cosine transform (DCT) for feature extraction and artificial neuralnetworks and neurofuzzy system for Classification. As DCT works on gray level image, the color image istransformed into gray levels. A neuro-fuzzy approach was used to take advantage of neural network’s abilityto learn, and membership degrees and functions of fuzzy logic. This paper proves that neuro-fuzzy modelperformed better than the neural network in classification of texture image of 2 different types
