A four-point polynomial interpolation (using Neville's algorithm [4]) is then performed at integer range values to give the binned predicted output cumulative distributions. The limits of the grey level ranges are taken from the ranges of the corresponding actual distributions (thus, the total probabilities of the two mass functions are not necessarily equivalent). Given the actual and predicte...

This paper presents the construction of a novel representation of shape called the scale-spectrum space, which makes both spatial frequency channels of speciic importance (concerning spectrum information being isolated) as well as signiicant scale levels from the viewpoint of these spectrum bands explicit. The scale concept in the vision literature stands for the characteristic length over whic...

In this paper, we propose to use learning vector quantization for the efficient partitioning of a cooccurrence space. A simple codebook is trained to map the multidimensional cooccurrence space into a 1-dimensional cooccurrence histogram. In the classification phase a nonparametric log-likelihood statistic is employed for comparing sample and prototype histograms. The advantages of vector quant...

An innovative hierarchical image segmentation scheme is reported in this research communication. Unlike static/ spatially divided sub-images, the current innovation concentrates on object level hierarchy for segmentation of gray scale or color images into constituent component/ sub-parts. As for example, a gray scale document image may be segmented (binarized in case of two-level segmentation) ...

In this paper, we present a new mathematical framework for modeling texture images. Under this new framework, we prove that the Asymmetric Gray Level Aura Matrices (AGLAMs) of a given image have the necessary and sufficient information to represent the image. Using AGLAMs, a new similarity measure is defined, which is a one-to-one metric in the sense that zero distance between two images will g...

In this paper, we address the problem of producing visible spectrum facial images as we normally see by using thermal infrared images. We apply Canonical Correlation Analysis (CCA) to extract the features, converting a many-to-many mapping between infrared and visible images into a one-to-one mapping approximately. Then we learn the relationship between two feature spaces in which the visible f...

Diagnosis of breast cancer in mammograms is also for specialists a difficult and error-prone task. A good opportunity to support radiologists in their decision is to find similar mammograms out of a database to compare the current case with past cases. In this work a complete content based image retrieval (CBIR) system for mass and calcification class mammograms has been implemented under usage...

Visual Secret Sharing (VSS) encrypts secret images into n shares and decryption is done through the human vision. But, traditional visual cryptography scheme is restricted to the number of secret images or the performance of recovered image is not good. The proposed scheme shares multiple images using gray level mixing with real size image recovery and has improved contrast of recovered images ...

Fringe projection systems have been widely applied in three-dimensional (3D) shape measurements. One of the important issues is how to retrieve the absolute phase. This paper presents a modified gray-level coding method for absolute phase retrieval. Specifically, two groups of fringe patterns are projected onto the measured objects, including three phase-shift patterns for the wrapped phase, an...