Methods for automatic detection of left ventricular endocardium in echocardiograms are required to quantitatively evaluate the functional performance of the left ventricle. This s...
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
We present an algorithm for segmentation of traffic scenes that distinguishes moving objects from cast shadows. Three image features at each pixel site are considered: brightness,...
Ivana Mikic, Pamela C. Cosman, Greg T. Kogut, Moha...
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
In this paper, we propose a new self-calibration technique for cameras with changing zoom observing only a planar structure. The method does not need any metric or topologic knowl...
Fingerprint enhancement is a critical step in fingerprint identification. Most of the existing enhancement algorithms are based on local ridge direction. The main drawback of thes...
2. Obtain the gray-levelgradient magnitude. 3. Derive the threshold surface by deforming the original image gray-level surface. 4. The thresholdsurface interpolation. 5. Segmentati...
C. C. Leung, Francis H. Y. Chan, Paul C. K. Kwok, ...