The sizes for the perceptible or acceptable color difference measured with instruments vary by factors such as instrument, material, and color-difference formula. To compensate for disagreement of the CIELAB color difference ( E*ab) with the human observer, the CIEDE2000 formula was developed. However, since this formula has no uniform color space (UCS), DIN99 UCS may be an alternative UCS at p...

For grey-value images, it is well accepted that the neighborhood rather than the pixel carries the geometrical interpretation. Interestingly the spatial configuration of the neighborhood is the basis for the perception of humans. Common practise in color image processing, is to use the color information without considering the spatial structure. We aim at a physical basis for the local interpre...

The purpose of this in vitro study was to evaluate the color stability of two brands of porcelain teeth and three brands of acrylic denture teeth. Samples were immersed into three staining drinks as test groups and distilled water as a control. Color measurements of teeth were performed by using a spectrophotometer. Before immersion, the initial color value of each tooth was recorded. Color cha...

This paper presents experimentally based rules and methods for the creation of harmonic color sets. First, dichromatic rules are presented which concern the harmony relationships of two hues. For an arbitrarily given hue pair, we define the just harmonic saturation values, resulting in minimally harmonic color pairs. These values express the fuzzy border between harmony and disharmony regions u...

Detecting forest fire is a highly active research area in the field of pattern recognition and computer vision as a number of existing methods available in the literature. The purpose of the proposed study is to select the most suitable color space, features and classifiers for the fire classification. Our approach begins by finding the likelihood of every pixel value. The fire is then defined ...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

This chapter presents a novel and generic framework for image segmentation using a compound image descriptor that encompasses both colour and texture information in an adaptive fashion. The developed image segmentation method extracts the texture information using low-level image descriptors (such as the Local Binary Patterns (LBP)) and colour information by using colour space partitioning. The...

Deep networks have become very popular over the past few years. The main reason for this widespread use is their excellent ability to learn and predict knowledge in a very easy and efficient way. Convolutional neural networks and auto-­‐encoders have become the normal in the area of imaging and computer vision achieving unprecedented BLOCKIN BLOCKIN accuracy BLOCKIN BLOCKIN levels BLOCKIN BLOCK...

Putting aside metaphorical meanings of the term, color space is understood as a vector space, where lights having the same color (i.e., subjectively indistinguishable) are represented as a point. The CIE 1931 color space, empirically based on trichromatic color measurements, is a classical example. Its derivatives, such as CIELAB and sRGB, have been successfully used in many applications (e.g.,...