Fuzzy set theory has been used to handle uncertainty in various aspects of image processing, pattern recognition and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its natural language capabilities. Scene description, a language-based interpretation of regions and their relationships, is one such application that has used fuzzy se...

We present a method to perform histogram matching between two color images based on the concept of harmonic mapping between Riemannian manifolds. The key idea is to associate the histogram of a color image to a Riemannian manifold. In this context, the energy of the matching between the two images is measured by the Dirichlet energy of the mapping between the Riemannian manifolds. Then, we assi...

As well-known, it is hard to detect LSB matching steganography when cover images are scans of photographs, which usually have high-frequency noise. This paper proposes a novel steganalysis method for this issue by making use of the following two facts: One is the local maxima of an image histogram decrease and the local minima increase after LSB matching steganography. As a result, the area bet...

In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...

We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogram matching and condensation tracking. We implemented a prototype 3-D online manual system based on our method.

Significant advances have recently been made in the coding of video data recorded with multiple cameras. However, luminance and chrominance variations between the camera views may deteriorate the performance of multi−view video codecs and renderers. In this paper, the usage of time−constant histogram matching is proposed to compensate these differences in a pre−filtering step. It is shown that ...

We propose a new region-based method for stained glass rendering of an input photograph. We achieve more regular region sizes than previous methods by using simple linear iterative clustering, or SLIC, to obtain tile boundaries. The SLIC regions respect image edges but provide an oversegmentation suitable for stained glass. We distinguish between important boundaries that match image edges, and...

A method for automatically assessing the quality of retinal images is presented. It is based on the idea that images of good quality possess some common features that should help define a model of what a good ophthalmic image is. The proposed features are the histogram of the edge magnitude distribution in the image as well as the local histograms of pixel gray-scale values. Histogram matching ...

This paper presents a new appearance-based place recognition system for topological localization. The method uses a panoramic vision system to sense the environment. Color images are classified in real-time based on nearest-neighbor learning, image histogram matching, and a simple voting scheme. The system has been evaluated with eight cross-sequence tests in four unmodified environments, three...