White blood cells analysis is generally done for diagnosis of various diseases. One of those diseases is Acute lymphoblastic leukemia (ALL). ALL is detected by observing morphological changes in white blood cells. Morphological analysis along with classification and segmentation techniques helps to detect leukemia at early stage and accurate detection. There are number of classification techniq...

An automated classification system of pizza sauce spread using colour vision and support vector machine (SVM) was developed. To characterise pizza sauce spread with low dimensional colour features, a sequence of image processing algorithms was developed. After image segmentation from the background, the segmented image was transformed from red, green, and blue (RGB) colour space to hue, saturat...

Method for robust demarcation of the basal cell carcinoma (BCC) is presented employing novel dependent component analysis (DCA)-based approach to unsupervised segmentation of the red-green-blue (RGB) fluorescent image of the BCC. It exploits spectral diversity between the BCC and the surrounding tissue. DCA represents an extension of the independent component analysis (ICA) and is necessary to ...

PURPOSE To use normalized apparent diffusion coefficient (nADC) histograms from patients with grade II oligodendroglioma (OD) and astrocytoma (AC) to generate RGB color maps that emphasize the differences between normal-appearing white matter (NAWM), oligo-like, and astro-like regions. MATERIALS AND METHODS NAWM and nonenhancing lesion (NEL) ADC values from 19 ODs and 11 ACs were summed to ge...

This paper presents a novel approach for the enhancement of high dynamic range color images using fuzzy logic and modified Artificial Ant Colony System techniques. Two thresholds, the lower and the upper are defined to provide an estimate of the underexposed, mixed-exposed and overexposed regions in the image. The red, green and blue (RGB) color space is converted into Hue Saturation and Value ...

In the vision system of apple-picking robots, main challenge is to rapidly and accurately identify apple targets with varying halation shadows on their surfaces. To solve this problem, study proposes a novel, multi-feature, patch-based image segmentation technique using gray-centered red-green-blue (RGB) color space. The developed method presents multi-feature selection process, which eliminate...

Although most digital cameras acquire images in a raw format, based on a Color Filter Array that arranges RGB color filters on a square grid of photosensors, most image compression techniques do not use the raw data; instead, they use the rgb result of an interpolation algorithm of the raw data. This approach is inefficient and by performing a lossless compression of the raw data, followed by p...

For enhanced adaptability to poor light enhancement whilst achieving high image contrast, a new method for color correction based on the advantages of non-linear function in grey transformation and histogram equalization techniques is proposed this work. Firstly, original red, green blue (RGB) converted into HSV space, V channel used enhancement. An adaptive gamma generator adaptively calculate...

This paper proposes a method of initial seed pixel selection used for image segmentation based on edge detection technique. Initial pixel seed selection is the crucial and starting stage of image segmentation. This method is based on RGB color model. In this paper author use the gradient magnitude of the Red, Green and Blue components of true color image. Two type of information are used: non-e...

A computer vision-based wayfinding and navigation aid can improve the mobility of blind and visually impaired people to travel independently. In this paper, we develop a new framework to detect and recognize stairs, pedestrian crosswalks, and traffic signals based on RGB-D (Red, Green, Blue, and Depth) images. Since both stairs and pedestrian crosswalks are featured by a group of parallel lines...