Fuzzy color quantization and its application in Content-based image retrieval
نویسندگان
چکیده
A fuzzy approach to color quantization and its application in content-based image indexing and retrieval is presented in this paper. There are some drawbacks associated with traditional color histogram such as color quantization. The goal in this paper is to develop an effective method to overcome several limitations, which are related to traditional color histogram. In the proposed method, fuzzy logic is used to quantize color space and apply it in color histogram construction. The objective is to eliminate error quantization effect that causes poor results due to varying lighting conditions and gamma nonlinearity effect. Experimental results on a database of 1000 images are reported. Key-Words: Fuzzy color quantization, Color histogram, Image indexing, Content-based image retrieval.
منابع مشابه
A Robust Color Object Analysis Approach to Efficient Image Retrieval
We describe a novel indexing and retrieval methodology integrating color, texture, and shape information for content-based image retrieval in image databases. This methodology, we call CLEAR, applies unsupervised image segmentation to partition an image into a set of objects. Fuzzy color histogram, fuzzy texture, and fuzzy shape properties of each object are then calculated to be its signature....
متن کاملA Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying
This paper describes a novel indexing and retrieval methodology integrating color, texture and shape information for content-based image retrieval in online image databases. This methodology, called PicSearcher, applies unsupervised image segmentation to partition an image into a set of regions, then fuzzy color histogram as well as fuzzy texture and shape properties of each region is calculate...
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 کاملRotation and Scale Invariant Color Image Retrieval Using Fuzzy Clustering
Color is one of the most important image features used in content-based image retrieval (CBIR). This paper proposes a robust and effective color feature known as ring-based fuzzy histogram (RFH), which reduces noise sensitivity in conventional color histograms (CCH) by using two stages of fuzzy clustering. By partitioning images into rings, RFH can capture an image’s spatial information, and is...
متن کاملAn Efficient Clustering-Based Fuzzy Matching Approach for Image Database Retrieval
This paper describes a novel indexing and retrieval methodology integrating color, texture and shape information for content-based image retrieval in image databases. This methodology applies unsupervised image segmentation to partition an image into a set of regions and extracts texture and shape information of each region to be part of their signatures. In addition, fuzzy histogram of each re...
متن کامل