Template matching is a technique widely used for finding patterns in digital images. A good template matching should be able to detect template instances that have undergone geometric transformations. In this paper, we proposed a grayscale template matching algorithm named Ciratefi, invariant to rotation, scale, translation, brightness and contrast and its extension to color images. We introduc...

Grayscale halftoning converts a continuous-tone image (e.g., 8 bits per pixel) to a lower resolution (e.g., 1 bit per pixel) for printing or display. Grayscale halftoning by error diffusion uses feedback to shape the quantization noise into high frequencies where the human visual system (HVS) is least sensitive. In color halftoning, the application of grayscale error-diffusion methods to the in...

A color image sent to the monochrome device must undergo the color-to-grayscale conversion process. Although the conventional color-to-grayscale conversion algorithms are widely used, their performance is questionable in certain circumstances and poor quality resultant grayscale images will be produced. This paper tackled some drawbacks of the conventional methods by introducing a novel approac...

This paper presents a comprehensive framework for tracking coarse human model from sequences of synchronized monocular grayscale images in single or multiple camera coordinates. It demonstrates the feasibility of an end-to-end person tracking system using a unique combination of motion analysis from sequences of synchronized monocular grayscale images in different camera Coordinates and other e...

To study visual attention during search processes, numerous studies measured the selectivity of observers’ saccadic eye movements for local display features. These experiments almost entirely relied on simple, artificial displays with discrete search items and features. Recently, a first study on saccadic selectivity in real-world scenes was conducted, demonstrating visual guidance by low-level...

We investigate the behavior of imperfect band-limited occulting masks in a high-contrast imaging system through modeling and simulations. Grayscale masks having 1D Sinc(2) (linear-Sinc(2)) amplitude transmission coefficient (Sinc(4) intensity transmittance) profiles as well as optical density and wavelength-dependent parasitic phases are considered occulters. We compare the behaviors of several...

This paper presents novel image contrast enhancement models using Xilinx System Generator (XSG). The proposed models are specifically to enhance the images captured under extremely dark / non-uniform lighting environment as well as for poor contrast environment. To perform the contrast enhancement the proposed design adapts windowing operation by utilizing linear intensity scaling and clipping....

Identifying specific CT-image regions is an important process in medical diagnosis. Clustering is a simple and useful means for automatic image segmentation. However, clustering results vary with the features of image pixels and the settings of parameters of the clustering methods. This study compares the results of CT image segmentation using FCMbased clustering algorithms running with intensi...

This paper presents a novel variance (contrast) maximizing and brightness preserving color to grayscale image transformation method. We formulate the problem of converting color to grayscale image as a constrained optimization problem where we maximize the variance (contrast) of the grayscale image subject to the constraint that it preserves the brightness of the color image. Our algorithm has ...

We propose a hybrid tracking algorithm consisting of two trackers built on grayscale appearance models. In a first tracker we employ an object template that consists of several grayscale image patches. Every patch votes for the possible positions of the object undergoing tracking. A grayscale appearance model that is learned on-line is used in a supplementing tracker. A particle swarm optimizat...