Content-based Image Retrieval Using Entropy and Fractal Coding
نویسندگان
چکیده
Describing and extracting image’s feature is a key question in content-based image retrieval system, and this paper puts forward a novel image retrieval method using image information entropy and fractal coding. First, compared with a given threshold computed from the inquired image, each image in the database is classified by computing its image entropy. Second, the inquired image’s fractal coding is got by Jacquin method, which is applied to the same kind of database images with fractal tenth iteration decoding. Finally, image retrieval result is obtained by matching the similar Euclidean distance between the inquired image and the iterated decoded image. Experimental results show that compared with the direct image pixels similar matching strategy, our scheme improves the retrieval time greatly and guarantees the retrieval accuracy, thus our proposed method is effective and feasible. Key-Words: Fractal coding; Image information entropy; Image retrieval; Similar
منابع مشابه
Image Retrieval Method Based on Entropy and Fractal Coding
In content-based image retrieval system, describing and extracting image’s feature is a key question. An image can be characterized by its fractal codes, and fractal codes can be used as the image’s feature to retrieve the images effectively. This paper proposes a novel image retrieval method using information entropy and fractal coding. First, each image in the database is classified by comput...
متن کاملComparison of Wavelet Transforms and Fractal Coding in Texture-Based Image Retrieval
Image compression techniques based on wavelet and fractal coding have been recognized signiicantly useful in image texture classiication and discrimination. In fractal coding approach, each image is represented by a set of self-transformations through which an approximation of the original image can be reconstructed. These transformations of images can be utilized to distinguish images. The fra...
متن کاملAdding Fractal Dimension as Textural Feature for Content Based Image Retrieval
The objective of the present work is to evaluate the potential of the use of the image fractal dimension as textural feature in a content-based image retrieval system. In order to compare and classify the regions of an image, we have used two distances between two partitions of the image: (1) a classic distance computed with some features (contrast, energy, entropy, homogeneity, correlation) ex...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملImage Processing Applications Based on Texture and Fractal Analysis
Texture analysis research attempts to solve two important kinds of problems: texture segmentation and texture classification. In some applications, textured image segmentation can be solved by classification of small regions obtained from image partition. Two classes of features are proposed in the decision theoretic recognition problem for textured image classification. The first class derives...
متن کامل