In this paper, HSV based color motif co-occurance matrix (HSV-Motif) is proposed for content based image retrieval (CBIR). The HSV-Motif is proposed in contrast to the RGB based color motif co-occurance matrix (RGB-Motif). First the RGB (red, green, and blue) image is converted into HSV (hue, saturation, and value) image, then the H and S images are used for histogram calculation by quantizing ...

in current paper, geometrical relationship between the longitudinal faults of a zone of the folded zagros, surrounding asef mountains (north of shiraz) that follow the northwest-southeast structural trend (eg. zarghan, katah and sadra faults) has been studied. a western and southern zone of zagros mountain chain called folded zagros has a length of about 1375 km and a width between 120 and 250 ...

Four novel color Local Binary Pattern (LBP) descriptors are presented in this chapter for scene image and image texture classification with applications to image search and retrieval. Specifically, the first color LBP descriptor, the oRGB-LBP descriptor, is derived by concatenating the LBP features of the component images in an opponent color space — the oRGB color space. The other three color ...

With the growth in the communication, there is an increase in the transmission of data across the various medium; security is the key issue that needs to be addressed. Various steganography techniques are used to hide actual message secretly to provide control over the medium where data is sent. This paper is intended to propose an image steganography technique that will hide four bits of data ...

In this cryptosystem, we have considered RGB images for two-dimensional (2D) data security. Security of RGB images during transmission is a major concern, discussed globally. This paper proposes a novel technique for color image security by random hill cipher (RHC) over SLn(F) domain associated with 2D discrete wavelet transform. Existing techniques have discussed the security of image data on ...

OBJECTIVE To develop a flexible method of separation and quantification of immunohistochemical staining by means of color image analysis. STUDY DESIGN An algorithm was developed to deconvolve the color information acquired with red-green-blue (RGB) cameras and to calculate the contribution of each of the applied stains based on stain-specific RGB absorption. The algorithm was tested using dif...

Color based image retrieval is an important research area in digital image processing and Color is the useful property of the image. The challenging task is to find an efficient and accurate color images similar value and some limitations between two different types of image are matching such as compressed color image and RGB color image, RGB image and HSV color image, color image and 90 degree...

While unsupervised segmentation of RGB images has never led to results comparable to supervised segmentation methods, a surprising message of this paper is that unsupervised image segmentation of RGB-D images yields comparable results to supervised segmentation. We propose an unsupervised segmentation algorithm that is carefully crafted to balance the contribution of color and depth features in...

The purpose of this presentation is to stress the need for colour management whenever a computer is used for the acquisition, visualisation, or reproduction of coloured objects. By calibrating colour peripherals to a common standard, Colour Management System (CMS) software makes it easier to match the colours that are scanned to those that appear on the monitor and printer, and also to match co...

Image Steganography is the popular method to hide sensitive information behind image and that is not the only reason, the hidden information is invisible to naked eyes so that no one can easily predict the secret information behind the image. In this paper we are introducing a new technique for image stenography which increases the capacity of information carried by image. Image stenography was...