Deep neural networks perform well in road extraction from very high-resolution satellite
imagery. A network with certain reasoning ability will give more satisfactory road network …

In recent times, biometrics is the best alternative for the token-based and knowledge-based
security systems. Out of the existing biometric modalities, the vascular biometric modalities …

We propose a method for indoor versus outdoor scene classification using a probabilistic
neural network (PNN). The scene is initially segmented (unsupervised) using fuzzy-means …

There is an increasing need for automatically segmenting the regions of different landforms
from a multispectral satellite image. The problem of Landform classification using data only …

We propose a novel approach to implement robust unsupervised color image content
understanding approach that segments a color image into its constituent parts automatically …

In this paper, we propose an approach for texture segmentation by integrating region and
edge information. The algorithm uses a constraint satisfaction neural network for texture …

Texture boundaries or edges are useful information for segmenting a texture image. We
propose a texture edge detection algorithm using a bank of 1-D multi-channel …

The modeling of the perceptual properties of texture plays a fundamental role in tasks where
some interaction with subjects is needed. In order to face the imprecision related to these …

We propose a novel approach to investigate and implement unsupervised segmentation of
color images particularly natural color images. The aim is to devise a robust unsupervised …

This paper describes a method of unsupervised color texture segmentation by efficiently
combining different features obtained from multi-channel and multi-resolution filters. The …