image retriveval using color-texture features extracted from gabor-walsh wavelet pyramid
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JIST-2-5_004
تاریخ نمایه سازی: 21 فروردین 1393
Abstract:
Image retrieval is one of the most applicable image processing techniques which have been extensively used. Feature extraction is one of the most important procedures used for interpretation and indexing images in Content-Based Image Retrieval (CBIR) systems. Effective storage, indexing and managing a large number of image collections are critical challenges in computer systems. There are many proposed methods to overcome these problems. However, the rate of image retrieval and speed of retrieval are still interesting fields of researches. In this paper, we propose a new method based on combination of Gabor filter and Walsh transform and Wavelet Pyramid (GWWP). The Crossover Point (CP) of precision and recall are considered as metrics to evaluate and compare different methods. The Obtained results show using GWWP provides better performance in compared to with other methods
Keywords:
Content-Based Image Retrieval (CBIR) , Gabor Filter , Walsh Transform , Wavelet Pyramid Transform , Texture
Authors
Sajjad Mohammadzadeh
Department of Electronics and Communications Eng., University of Birjand, Birjand, Iran
Hasan Farsi
Department of Electronics and Communications Eng., University of Birjand, Birjand, Iran