An Improved Image Retrieval System using Image Classification
نویسندگان
چکیده
منابع مشابه
Image Classification Using Content Based Image Retrieval System
Image Classification in Content Based Image Retrieval deals with classifying all pixels in a digital image into one of several classes. For example in an agricultural scene, each pixel could be assigned the class wheat, rice or barley. The classified images are extremely useful for searching and browsing through large collection of images. Two main approaches used in image classification are su...
متن کاملContent Based Image Retrieval System using Image Classification
The efficient technique for image retrieval is Content Based Image Retrieval (CBIR) which retrieves images using image content. The image content is known as color, texture, shape and spatial information. Color feature is secure and liberates to rotation, translation and scale changes. The proposed CBIR system have a fused feature of 3*3 block color histogram and color cooccurrence matrix. The ...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملDocument Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
متن کاملAn Intelligent System for Aerial Image Retrieval and Classification
Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and c...
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: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/12533-9172