The appearance of multiple faces is influenced by abnormal exposure, interfering backgrounds or fake objects greatly in the color face image. A multiple-face detection method based on the adaptive dual skin model and improved fuzzy C-mean clustering was presented in this study. First an adaptive skin-color model and an adaptive skin-probability model were built to acquire the skin likelihood fo...

With the advent of the Internet and low-price digital cameras, as well as powerful image editing software, the authenticity of digital images can no longer be taken for granted. Image noises are often introduced into the tampered region during image manipulation process. In this paper, we propose a detection method to locate image forgeries based on noise estimation on HSV color space and hybri...

When applied to deep photometric catalogs, the two-point angular correlation function, ω(θ), is a sensitive probe of the evolution of galaxy clustering properties. Here we present measurements of ω(θ) as a function of IAB magnitude and (R − I) color to a depth of IAB = 24 on scales θ = 7 − 3, using a sample of ∼ 350, 000 galaxies covering 5 degrees in total over 5 separate fields. Using redshif...

In this paper, a denoising approach, which exploits patchredundancy for removing Gaussian noise from RGB color images is described. Both geometrical and photometrical similarity of image patches have to be considered for learning the parameters of this Patch-based Locally Optimal Weiner(PLOW) filer. K-means clustering,with LARK(Locally Adaptive Regression Kernel) features, is used to identify t...

For this year’s Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased retrieval. We investigate whether the clustering of results can increase diversity by returning as many different clusters of images in the results as possible. Our image system uses the FIRE engine to extract image feature...

2D color barcodes have been introduced to obtain larger storage capabilities than traditional black and white barcodes. Unfortunately, the data density of color barcodes is substantially limited by the redundancy needed for correcting errors, which are due not only to geometric but also to chromatic distortions introduced by the printing and scanning process. The higher the expected error rate,...

Image enhancement and image clustering are two practical implementation approaches for pattern recognition with a variety of engineering applications. In most cases, the actual outcomes of some advanced image processing approaches will directly affect the decision making, such as in target detection and medical diagnosis. Among these approaches, image adaptive contrast stretching is a typical e...

This paper presented a novel approach for the segmentation of high resolution satellite images using the spatial information incorporated modified fuzzy c-means clustering algorithm. The images after preprocessing and geo referencing, the satellite images are available in RGB color space. In this device dependent and non uniform color space, the intensity and color information are mixed and als...

This paper proposes a new probabilistic non-extensive entropy feature for texture characterization, based on a Gaussian information measure. The highlights of the new entropy are that it is bounded by finite limits and that it is non additive in nature. The non additive property of the proposed entropy makes it useful for the representation of information content in the non-extensive systems co...

This paper proposes color invariant moment features based on color clustering. Similarity measure method based on the color invariant moment descriptors is given. This method is applied in a practical application system. The experimental result shows that, the proposed feature has both a wider and steadier invariant and a stronger ability in color based image region similarity discriminating th...