Introduction: This paper addresses a method for automatic detection of blood vessels in color fundus images which utilizes two main tools: image partitioning and local Radon transform. Material and Methods: The input images are firstly divided into overlapping windows and then the Radon transform is applied to each. The maximum of the Radon transform in each window corresponds to the probable a...

In this paper, we propose a reversible color transform (RCT) for color images acquired through a Bayer pattern color filter array. One existing RCT with fixed coefficients is simple to implement. However, it is not adaptive to each of input images. Another existing RCT based on eigenvector of covariance matrix of color components, which is equivalent to Karhunen–Loève transform (KLT), is adapti...

Most coding techniques for color image compression employ a de-correlation approach the RGB primaries are transformed into a de-correlated color space, such as YUV or YCbCr, then the de-correlated color components are encoded separately. Examples of this approach are the JPEG and JPEG2000 image compression standards. A different method, of a Correlation Based Approach (CBA) is presented in this...

This paper proposes a content-based image retrieval (CBIR) method based on color histograms and the discrete cosine transform (DCT). Color histogram characterizes an image by its color distribution, but the drawback of a global histogram representation is that spatial information (such as object location, shape, and texture) is discarded. In our approach, each image is first transformed into th...

In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images. In this paper, an adaptive color calibration and Discrete Trend Transform algorithm are presented to achieve hig...

This paper proposes color local binary pattern and fractional Fourier Transform features for face recognition. The YCbCr Color space model is used in this approach. Fractional Fourier Transform features and local binary pattern features are used for face recognition. kNN classifier is applied to face recognition phase.

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In this paper we develop a technique for encoding the variation of color over space using properties of the complex image Fourier transform where the image is deened by a complex number encoding, at each position, of hue (color angle) and saturation (color magnitude) values. The technique involves interpreting the complex coeecients of the non-symmetric spatio-chromatic frequency components in ...

Compression is used to decrease the number of bits required to store and transmit images without any measurable loss of information. Lossless color image compression for an image in RGB color model is done by a Reversible Color Transformation. It converts RGB to YUV color model. Y component is encoded by method called Lifting Wavelet Transform (LWT) with Huffman coding. The lifting scheme is a ...