In this paper, we present a new and effective color image retrieval scheme for combining all the three i.e. color, texture and shape information, which achieved higher retrieval efficiency. Firstly, the image is predetermined by using fast color quantization algorithm with clusters merging, and then a small number of dominant colors and their percentages can be obtained. Secondly, the spatial t...

The retrieval of images from a large database of images is an important and emerging area of research. Highresolution images in the physical database are decomposed into sets of image features which are stored in the logical database. Currently a few image retrieval systems combining color and texture as features to search images. In this paper 2D image is processed using a set of Gabor filter ...

This paper extends the BV (Bounded Variation) G and/or the BV-L variational nonlinear image-decomposition approaches, which are considered to be useful for image processing of a digital color camera, to genuine color-image decomposition approaches. For utilizing inter-channel color cross-correlations, this paper first introduces TV (Total Variation) norms of color differences and TV norms of co...

introduction:.color is the first quality attribute of food evaluated by consumers, and is therefore an important quality component of food which influences consumer’s choice and preferences (maguire, 1994). color measurement of food products has been used as an indirect measure of other quality attributes such as flavor and contents of pigments because it is simpler, faster and correlates well ...

Remote sensing image processing is so important in geosciences. Images which are obtained by different types of sensors might initially be unrecognizable. To make an acceptable visual perception in the images, some preprocessing steps (for removing noises and etc) are preformed which they affect the analysis of images. There are different types of processing according to the types of remote sen...

High-level (semantic) image classification can be achieved by analysis of low-level image attributes geared for the particular classes. In this paper, we have proposed a novel application of the known image processing and classification techniques to achieve such a high-level classification of color images. Our image classification algorithm uses three low-level image features: texture, color, ...

This paper presents a family of adaptive color image filters based on robust order-statistics and local contrast entropy control. The proposed filtering class is fully adaptive and free of any optimization procedure. Due to the adaptive nature of the algorithms and excellent balance between noise-removing and detailpreserving characteristics, it is desirable to use this technique as a pre-proce...

Novel Methods for Microscopic Image Processing, Analysis, Classification and Compression Alexander Suhre Ph.D. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Ahmet Enis Çetin May 2013 Microscopic images are frequently used in medicine and molecular biology. Many interesting image processing problems arise after the initial data acquisition step, since image modalities are manif...

The acquisition and measurement of twoand threedimensional contours of objects are important tasks in modern production processes and quality control. Specially, the nontactile methods like optical triangulation and the digital image processing get more and more importance. The color image processing in combination with a color coded illumination could be used to realize new methods of nontacti...