A new model is proposed in this paper on color edge detection that uses the second derivative operators and data fusion mechanism. The second-order neighborhood shows connection between current pixel surroundings of pixel. This for each RGB component input image. Once image edges are detected three primary colors: red, green, blue, these colors merged using combination rule. Then, final decisio...

In the present work the magnitudes of pigments in the synthetic leather, were measured by means of scanner. Initially synthetic leather samples pigmented by three different pigments of yellow, blue and red colors were prepared. Then the pigmented samples were scanned, and the values of RGB of images were calculated. The artificial neural network (ANN) method used to make relation between RGB va...

Conventional single-chip digital cameras use color filter arrays (CFA) to sample different spectral components. Demosaicing algorithms interpolate these data to complete red, green, and blue values for each image pixel, to produce an RGB image. In this article, we propose a novel demosaicing algorithm for the Bayer CFA. For the algorithm design, we assume that, following the concept proposed in...

BACKGROUND AND OBJECTIVE A cross-polarized diffuse reflectance (CDR) color imaging system was developed for quantitative evaluation of port wine stain (PWS) response to laser therapy. To obtain calibrated Commission International de l'Eclairage (CIE) color space images from RGB (red, green, and blue) images, it was necessary to derive an optimized conversion matrix specific to our imaging syste...

Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image. Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process. A new human skin detection algorithm is proposed in this paper. The three main parameters for recognizing a skin pixel are RGB (Red, Green, Blue), HSV (Hue, Saturation, Value)...

In this paper, a novel deep learning-based robust automatic modulation classification (AMC) method is proposed for cognitive radio networks. Generally, as network input of AMC convolutional neural networks (CNNs) images or complex signals are utilized in time domain frequency domain. terms the image that contains RGB(Red, Green, Blue) levels size may be larger than signal, which represents incr...

In this paper the letter segmentation of photographs was used, taken from a Parrot AR Drone’s camera with the aim of establishing a stimulusresponse, where the original picture formed by Red, Green and Blue (RGB) colors was segmented by color (choosing the red channel). Once the character is recognized, the Drone executes the corresponding action. Noise-free number patterns were initially used ...

The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is determined first. The following semi-automatic procedure is proposed: initial nuclei segmentation is p...

This paper proposes a new feature descriptor, localized color descriptor for content based image retrieval (CBIR). The proposed method collects the local histograms from red (R), green (G) and blue (B) color spaces. These local histograms are collected by dividing the images into subblocks (regions). The performance of the proposed method is tested by conducting experiments on Corel-1000, natur...

The assessment of Blood Vessel networks plays an important role in a variety of medical disorders. The diagnosis of Diabetic Retinopathy (DR) and its repercussions including micro aneurysms, haemorrhages, hard exudates and cotton wool spots is one such field. This study aims to develop an automated system for the extraction of blood vessels from retinal images by employing Kirsch’s Templates in...