Efficient Feature Extraction for Shape-Based Image Retrieval
نویسندگان
چکیده
منابع مشابه
Color & Texture Feature Extraction for Content Based Image Retrieval
Content based image retrieval (CBIR) is a challenging problem due to large size of the image database, difficulty in recognizing images, difficulty in devising a query and evaluating results in terms of semantic gap, computational load to manage large data files and overall retrieval time. Feature extraction is initial and important step in the design of content based image retrieval system. Fe...
متن کاملVisual Feature Extraction for Content-Based Image Retrieval
In this age of computers, virtually all spheres of human life including commerce, government, academics, hospitals, crime prevention, surveillance, engineering, architecture, journalism, fashion and graphic design, and historical research use images for efficient services. In the medical profession, X-rays and scanned image database are kept for diagnosis, monitoring, and research purposes. In ...
متن کاملFeature Selection and Extraction for Content-Based Image Retrieval
Content-Based Image Retrieval is a technique that utilizes the visual content of an image to search for similar images in large scale image databases. The visual content of an image represents the low-level features extracted from the image. These primarily constitute color, shape and texture features. The precision of image classification and image retrieval is mainly based on image feature ex...
متن کاملFeature Extraction and Selection for Image Retrieval
In this paper feature extraction process is analyzed and a new set of edge features is proposed. A revised edge-based structural feature extraction approach is introduced. A principle feature selection algorithm is also proposed for new feature analysis and feature selection. The results of the PFA is tested and compared to the original feature set, random selections, as well as those from Prin...
متن کاملContent-based Image Retrieval: Feature Extraction Techniques and Applications
The emergence of multimedia technology and the rapidly expanding image collections on the Internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data. The need to find a desired image from a large collection is shared by many professional groups, including journalists, design engineers and art historians. Difficulties faced by te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2008
ISSN: 1812-5654
DOI: 10.3923/jas.2008.2378.2386