Content Based Image Retrieval (CBIR) is a set of methods for retrieving related images from an image dataset based on the image features. In the retrieval system, features recognition is the main phase of the system. One of the most important features visually recognized by humans in images is color. A company’s trademark plays an important in expansion of its business. Color is a very importan...

This paper presents the comparative study among HSV and YCbCr color models in the classification of food grains by combining color and texture features without performing preprocessing. Also, the paper deals with the effect of training set, block size and K-value in the process of classification. The proposed method is performed in two phases; the feature extraction phase and classification pha...

In this paper, we describe a new approach for color texture feature extraction and selection. We define color texture features as texture features which are computed by taking into account the color components of the pixels. We determine the most discriminating color texture features among a multidimensional set of color texture features by means of an iterative feature selection procedure asso...

Objective: Complex hue/saturation images as a new approach for color texture classification using Gabor filters are introduced and compared with common techniques. Method: The interpretation of hue and saturation as polar coordinates allows direct use of the HSVcolorspace for Fourier transform. This technique is applied for Gabor feature extraction of color textures. In contrast to other color ...

This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different color descriptors. The set of descriptors comprises global and spatially related features, and the tests show that HSV based global features provide the best performance at varying brightness and contrast settings.

The computer vision strategies used to recognize a fruit rely on four basic features which characterize the object: intensity, color, shape and texture. This paper proposes an efficient fusion of color and texture features for fruit recognition. The recognition is done by the minimum distance classifier based upon the statistical and co-occurrence features derived from the Wavelet transformed s...

—The development of image and video archives has made multimedia retrieval become important. Hence, an efficient system for multimedia retrieval is needed. In this study, we will propose a content-based video object retrieval system to retrieve both moving and stationary objects. First, users must circumscribe a query object by a bounding box on the video, image, or poster. The central cross gr...

This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is fnished, the process is as follows: quantifying the color space in non-equal intervals, constructing one dimension feature vector and representing the color feature by cumulative histogram. Similarly, the work of texture ...