We report on the discovery of two new faint cataclysmic variables. The objects were selected as candidates from two different imaging surveys aimed at the discovery of such faint systems. One survey used color and variability while the other used color and Hα emission as selection criteria. We present our spectra of the two new variables and discuss their properties. A discussion of the implica...

We introduce an algorithm for color halftoning using stochastic screening. This algorithm has three distinguished features: it uses clustering, it performs error diffusion and it employes an adaptive criteria to change the cluster size according to the variation of the image color values. Therefore, the method incorporates features from the traditional amplitude modulated (AM) digital halftonin...

Mathematical morphology offers popular image processing tools, successfully used for binary and grayscale images. Recently, its extension to color images has become of interest and several approaches were proposed. Due to various issues arising from the vectorial nature of the data, none of them imposed as a generally valid solution. We propose a probabilistic pseudo-morphological approach, by ...

A 2007 study by Regier, Kay, and Khetarpal purports to show that universal categories emerge as a result of optimal partitioning of color space. Regier, Kay, and Khetarpal only consider color categorizations of up to six categories. However, in most industrialized societies eleven color categories are observed. This paper shows that when applied to the case of eleven categories, Regier, Kay, an...

Postprocessing algorithms are usually placed in the pipeline of imaging devices to remove residual color artifacts introduced by the demosaicing step. Although demosaicing solutions aim to eliminate, limit or correct false colors and other impairments caused by a non ideal sampling, postprocessing techniques are usually more powerful in achieving this purpose. This is mainly because the input o...

Hyperspectral images, contain data from a large number of contiguous bands and, therefore, cannot be displayed directly using a color display system. In this paper, an independent component analysis-based (ICA-based) approach for the problem of fusing hyperspectral images to three-band images for color display purposes is proposed. Correlation coefficient and mutual information (ICA-CCMI) are u...

This paper presents a new method for edge-preserving color image denoising based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework is adapted to encode color information through tensors in order to propagate them in a neighborhood by using a specific voting process. This voting process is speci...

We propose a method of initial seed selection used for color image segmentation. In this paper Initial seed selection is a starting stage of color image segmentation. This method is based on HSV color model. Here we use two details; one is non-edge pixels and second is smoothness feature of the pixels. The non-edge pixels and smoothness at pixel’s neighbor are used as criteria to determine init...

Dermatologists have stated their preference for computer aided diagnosis (CAD) systems that provide medical justifications for the estimated diagnosis of a skin lesion. Such systems are considered to be clinically oriented in the sense that they try to detect clinical criteria and then perform a diagnosis based on that information. Unfortunately, the development of clinically inspired systems i...

This paper presents a new interest point detector for color images. It is based on a non linear filtering of the image which preserves edges, and on the use of a color point detector based on the Harris detector. We present how does interest points detectors work to justify the use of this filtering. We compare it with the Harris detector under the criteria of repeatibility, information content...