Color-based object tracking takes great attentions since a color is an efficient and robust visual cue for characterizing one object from the other objects. Color segmentation is, however, suffered from color variations induced from irregular illumination variations and the viewing geometry of a camera. This paper proposes a reliable color modeling approach including intensity information in HS...

To detect changes in repeated astronomical images of the same field of view (FOV), a common practice is to stroboscopically switch between the images. Using this method, objects that are changing in location or intensity between images are easier to see because they are constantly changing. A novel display method, called arrival time color intensity projections (CIPs), is presented that combine...

This article presents a complete hybrid object recognition system for three-dimensional objects using the characteristic view (ChV) idea. High-quality 2-D reconstructions have to be generated from intensity or color data, respectively, to integrate the ChV representation method into a recognition system. First, we present an approach for obtaining edges and gradient information from color image...

This paper proposes a novel system for color image segmentation called “Adaptive color image segmentation using fuzzy min-max clustering (ACISFMC)”. The present work is an application of Simpson’s fuzzy min-max neural network (FMMN) clustering algorithm. ACISFMC uses a multilayer perceptron (MLP) like network which perform color image segmentation using multilevel thresholding. Threshold values...

Among the existing image fusion algorithms, Intensity used one. When the IHS method is used for IKONOS imagery, there is a significant color distortion, due mainly to the range of wavelengths in an IKONOS Pan ima regions are far larger than the grey values of intensity (I) and that vegetation appears of relatively high reflectance in Near Infrared (NIR) and Pan bands we propose a new technique ...

An algorithm for tracking a person’s head is presented. The head’s projection onto the image plane is modeled as an ellipse whose position and size are continually updated by a local search combining the output of a module concentrating on the intensity gradient around the ellipse’s perimeter with that of another module focusing on the color histogram of the ellipse’s interior. Since these two ...

This paper presents the measurement of object reflectance from color images. We exploit the Gaussian scalespace paradigm to define a framework for the robust measurement of object reflectance from color images. Illumination and geometrical invariant properties are derived from a physical reflectance model based on the Kubelka-Munk theory. Imaging conditions are assumed to be white illumination ...

Image enhancement is aimed to improve image quality by maximizing the information content in the input image. In this article a PSO based hue preserving color image enhancement technique is proposed. The process is as follows. Image enhancement is considered as an optimization problem and particle swarm optimization (PSO) is used to solve it. The quality of the intensity image is improved by a ...

BACKGROUND Blue light has more energy than longer wavelength light and can penetrate the eye to reach the retina. When surgeons use magnifying loupes under intensive surgical shadowless lamps for better view of the surgical field, the total luminance is about 200 times brighter than that of typical office lighting. In this study, the effects of 2 types of shadowless lamps were compared. Moreove...

In this paper, we propose a novel approach to improve the visual appearance of nighttime video. The proposed method firstly converts the video from RGB color space to YCbCr color space, and then Y component is extracted to enhance illumination using a new image fusion method, which uses wavelet transform. Secondly, low-pass Gaussian filter is used to resolve vague areas problems of the enhanced...