Texture classification is a process to category a texture image into its related class. Texture features can be extracted by different methods, using structural, statistical, model-based and transform information. In this work geometric invariant moments (GM) feature is utilized as a rotation, scale and translation invariant classifier. For omitting the image intensity of the features, thresholding technique is used before feature extraction. After that a new optimized neural classifier employed to classify the input images into their category. The classifier consists of optimizing the weights of neural network by a new algorithm, Firefly algorithm. Brodatz database are used to perform the experiment and final results show 90.18% classification rate as the system efficiency.
کلید واژگان :Texture Detection, Rotation, scale, translation and intensity invariant, Kapur's Thresholding, Artificial Neural Network, Optimization, Firefly Algorithm.
ارزش ریالی : 300000 ریال
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جزئیات مقاله
- کد شناسه : 4150884544235090
- سال انتشار : 2014
- نوع مقاله : پذیرفته شده در سایر مجلات علمی معتبر و علمی مروری و ISC
- زبان : انگلیسی
- محل پذیرش : Technical Journal of Engineering and Applied Sciences
- برگزار کنندگان :
- ISSN : 2051-0853
- تاریخ ثبت : 1396/08/02 15:14:02
- ثبت کننده : نوید رزمجوی
- تعداد بازدید : 193
- تعداد فروش : 0