The retrieval using single feature has a certain limitation, which fails to comprehensively describe an image. Aiming at such retrieval defect, this paper proposes an image retrieval method integrating color and texture. Firstly, carry out image segmentation with uniformly-spaced method, and then extract color feature of each segmentation with weighting processing done; and then, extract textur...

A vehicle license plate recognition system extracts plate information from a digital image through image processing technology. License plate extraction (LPE) is the premise and key concept of license plate recognition systems. In China, two-row license plates are yellow and dirty. Thus, a novel license plate extraction method based on CIELab color space is proposed in this paper. The method in...

Color image segmentation is a very emerging topic in current image processing research. An optimal technique for the same is always sought by the researchers of this field. In this paper, an efficient approach for color image segmentation is proposed. Here, the input color image is first converted from RGB to HSV color space. The V channel of the HSV converted image is extracted and normalized ...

Image colorization is a new image processing topic to recolor gray images to look as like the original color images as possible. Different methods have appeared in the literature to solve this problem, the way that leads to thinking about decolorization, eliminating the colors of color images to just small color keys, aid in the colorization process. Due to this idea, decolorization is consider...

The multiscale retinex with color restoration (MSRCR) continues to prove itself in extensive testing to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. However, issues remain with regard to the resiliency of the MSRCR to different image sources and arbitrary image manipulations which may have...

Automatic face detection in images is a very popular application that makes good use of image processing techniques (and also some pattern classification methods) and it is useful for many real-life imaging automations such as face identification for biometric authentication, surveillance of human activity, image retrieval and image classification. In color images, face detection may have an ad...

Most of the existing color image watermarking schemes were designed to mark the image luminance component only, which have some disadvantages: (i) they are sensitive to color attacks because of ignoring the correlation between different color channels, (ii) they are always not robust to geometric distortions for neglecting the watermark desynchronization. It is a challenging work to design a ro...

This paper proposed a novel representation for color image on quantum computer and further explored the basic color and geometric transformations on it. First, a multi-channel representation for color quantum image based on phase transform (CQIPT) is introduced in the form of a normalized state which captures information about colors RGB, transparency and positions. Then, a constructive polynom...

Image segmentation is very essential and critical to image processing and pattern recognition This survey provides a summary of color image segmentation techniques available now Basically color segmentation ap proaches are based on monochrome segmentation approaches operating in di erent color spaces Therefore we rst discuss the major segmentation approaches for segmenting monochrome images his...

Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di!erent color spaces. Therefore, we "rst discuss the major segmentation approaches for segmenting monochrome image...