Content-based image retrieval using Mix histogram
محل انتشار: دومین کنفرانس ملی مهندسی برق و کامپیوتر
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 571
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شناسه ملی سند علمی:
ELCM02_142
تاریخ نمایه سازی: 21 اردیبهشت 1397
چکیده مقاله:
This paper presents a new method to extract image low-level features, namely mix histogram (MH), for content-based image retrieval. Since color and edge orientation features are important visual information which help the human visual system percept and discriminate different images, this method extracts and integrates color and edge orientation information in order to measure similarity between different images. Traditional color histograms merely focus on the global distribution of color in the image and therefore fail to extract other visual features. The MH is attempting to overcome this problem by extracting edge orientations as well as color feature. The unique characteristic of the MH is that it takes into consideration both color and edge orientation information in an effective manner. Experimental results show that it outperforms many existing methods which were originally developed for image retrieval purposes.
کلیدواژه ها:
نویسندگان
Mohammad Rezaei
Department of computer engineering, K.N.Toosi University of Technology, Tehran, Iran
Ali Ahmadi
Department of computer engineering, K.N.Toosi University of Technology, Tehran, Iran
Navid Naderi
Department of computer engineering, K.N.Toosi University of Technology, Tehran, Iran