Highlight reflected from inhomogeneous objects is the combination of diffuse and specular reflection components. The presence of highlight causes many algorithms in computer vision to produce erroneous results. To resolve this problem, a method to separate diffuse and specular reflection components is required. This paper presents such a method, particularly for objects with uniformly colored s...

The visual correspondence problem is a classic problem in computer vision. This problem forms the basis of both stereo and motion. In this problem, we are given two images of the same scene from different cameras. A pixel in one image corresponds to a pixel in the other if both pixels are projections along the line of sight of the same physical scene element. The problem is to determine the cor...

In cardiopulmonary bypass surgery, it is beneficial to avoid the use of a heart-lung machine and perform beating heart surgery instead. This is a difficult task even for the most skilled surgeons. To eliminate the risks associated with cardiopulmonary bypass on a beating heart, a motion compensation system can be used. We place markers on the heart surface, which we can use to track the complex...

This paper presents a vector median filter that incorporates mechanism for the detection of impulses from color images. The vector pixels in a specified window is ranked on the basis of sum of the distances to other vector pixels in the window. The center vector pixel is declared as corrupted if its rank is bigger than a predefined rank and its distance from a nearby healthy vector pixel is big...

The ability to detect and identify effluent gases is a problem that has been pursued with limited success. An algorithm to do this would not only aid in the regulation of pollutants but also in treaty enforcement. Considering these applications, finding a way to remotely investigate a gaseous emission is highly desirable. This research utilizes hyperspectral imagery in the infrared region of th...

Mapping ice and open water in ocean bodies is important for numerous purposes including environmental analysis and ship navigation. The Canadian Ice Service (CIS) has stipulated a need for an automated ice-water discrimination algorithm using dual polarization images produced by RADARSAT2. Automated methods can provide mappings in larger volumes, with more consistency, and in finer resolutions ...

In this paper, we propose a novel technique for blind image restoration and resolution enhancement based on radial basis function (RBF) neural network. The RBF network gives a solution of the regularization problem often seen in function estimation with certain standard smoothness functional used as stabilizers. A RBF network model is designed to represent the observed image. In this model, the...

Visual cryptography is a secret sharing technique mainly used for image sharing. In the case of extended visual cryptography we use meaningful shares to hide image. Contrast loss in decrypted image is a major problem. Here we use Additional basis matrix and perfect white pixel reconstruction to improve the contrast in color extended visual cryptography. Keywords— Visual Cryptography (VC), Halft...

In this paper it is proposed an image compression method based on the idea of fitting a set of Neural Networks (NNs) outputs to the image surface, which is a three-dimensional surface where the pixel values are considered as heights (z-values) defined on the x–y ground plane. An image is divided into subimages (blocks) using a quad tree, according to the complexity of the image surface. Individ...

Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. In this paper, we present a novel online adaptive object tracker based on fast learning radial basis function (RBF) networks. Pixel based color features are used for developing the target/object model. ...