Enhancing capabilities of Texture Extraction for Color Image Retrieval
نویسندگان
چکیده
Content-Based Image Retrieval has been a major area of research in recent years. Efficient image retrieval with high precision would require an approach which combines usage of both the color and texture features of the image. In this paper we propose a method for enhancing the capabilities of texture based feature extraction and further demonstrate the use of these enhanced texture features in Texture-Based Color Image Retrieval. Keywords—Image retrieval, texture feature extraction, color extraction
منابع مشابه
Image 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 کاملWavelet based Content based Image Retrieval using Color and texture Feature Extraction by Gray Level Coocurence Matrix and Color Coocurence Matrix
In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by inte...
متن کاملColor & 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 کاملContent Based Image Retrieval Using Gabor Texture Feature and Color Histogram
In this paper, we present content based image retrieval using two features color and texture. Humans tend to differentiate images based on color, therefore color features are mostly used in CBIR. Color histogram is mostly used to represent color features but it cannot entirely characterize the image. Color Histogram is also rotation invariant about the view axis. Regularity, directionality, smo...
متن کاملContent Based Image Retrieval Using Integration of Color and Texture Features
1451 ISSN: 2278 – 1323 All Rights Reserved © 2014 IJARCET Abstract— CBIR is a process of retrieve and display relevant images from large collection of image database on the basis of their visual content. CBIR is used for retrieval of images depending upon visual contents of images known as features. This paper focuses on color and texture based techniques for achieving efficient and effective r...
متن کامل