The fractal dimensions of color-specific paint patterns in various Jackson Pollock paintings are calculated using a filtering process that models perceptual response to color differences (L*a*b* color space). The advantage of the L*a*b* space filtering method over traditional red-green-blue (RGB) spaces is that the former is a perceptually uniform (metric) space, leading to a more consistent de...

This paper introduces a new architecture for face detection in color images. Based on skin locus and successive detectors, the method allows high efficiency under drastically varying illumination conditions. While most color-based approaches work only if the camera was calibrated and detect faces if the features (eyes, mouth, eyebrows...) are visible and detectable, our system detects faces eve...

The method for segmentation of color regions in images with textures in adjacent regions being different can be arranged in two steps namely color quantization and segmentation spatially. First, colors in the image are quantized to few representative classes that can be used to differentiate regions in the image. The image pixels are then replaced by labels assigned to each class of colors. Thi...

RoboCup work on color-segmented camera images. Unfortunately, color labeling can be applied to object-recognition tasks only in very restricted environments, where different kinds of objects have different colors. To overcome these limitations, we propose an algorithm, called the CONTRACTING CURVE DENSITY (CCD) algorithm, for fitting parametric curves to image data. The method neither assumes o...

A new general-purpose color image segmentation editor (CISE) for the purpose of extracting a semantic object is designed, implemented and tested on a number of various natural scene images. Our editor integrates a deformable model and image statistics including intensity, color, gradient and texture. The editor starts with a coarse region segmentation which applies the Canny’s operator followed...

A well-known method for generating computer art is based on the paradigm of user-guided evolution, a method whereby "artists" interactively search through populations of images in order to select, and subsequently breed, those images which show aesthetic promise. This can be a time consuming endeavor, lacking well-defined principles for controlling evolution and for obtaining images with desire...

Interpreting ambiguous situations is not a purely data-driven process but can be biased towards positive interpretations by top-down influences. The present study tries to identify the underlying processes of these top-down influences. There are two separable types of processes that can be influenced by motivational biases: A perceptual bias affects information uptake whereas a judgmental bias ...

The image registration by digital cameras and video cameras requires digital filters to be posed onto the photo-sensitive sensors (CCD and CMOS). The filters are arranged in patterns across the face of the image sensing array. The most commonly used color filter array is Bayer pattern. An alternative of this pattern is a Pseudo-Random Bayer color filter array (CFA). Its structure differs consid...

BACKGROUND Patients with type 2 diabetes mellitus (T2DM) may develop color vision impairment. This study aimed to determine the prevalence and factors associated with impaired color vision in patients with T2DM but without diabetic retinopathy. METHODS Enrolment criteria included multi-ethnic Asian participants, age 21 to 80 years, with known T2DM for a minimum of 2 years. Their diagnoses wer...

This paper proposes a novel way of combining color demosaicing and the auto white balance (AWB) method, which are important parts of image processing. Performance of the AWB is generally affected by demosaicing results because most AWB algorithms are performed posterior to color demosaicing. In this paper, in order to increase the performance and efficiency of the AWB algorithm, the color const...