We propose an algorithm for segmentation of grayscale images. Our algorithm computes a solution to the convex, unconstrained minimization problem proposed by T. Chan, S. Esedo
- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...
Video streaming over the Internet has gained popularity during recent years mainly due to the revival of videoconferencing and videotelephony applications and the proliferation of ...
Abstract--We propose a new minutiae-based approach to match fingerprint images using similar structures. Distortion poses serious threats through altered geometry, increases false ...
Neeta Nain, B. M. Deepak, Dinesh Kumar, Biju Gauth...
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
This paper presents a new feature point detector that is accurate, efficient and fast. A detailed qualitative evaluation of the proposed feature point detector for grayscale images...
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically...