Pii: S0031-3203(97)00164-7

Optimizing the cost matrix for approximate string matching using genetic algorithms

Recognition of partially occluded objects using neural network based indexing

In this paper, a new neural network based indexing scheme has been proposed for recognition of planar shapes. Local contour segment-based-invariants have been used for indexing. Object contours have been obtained using a new algorithm which combines advantages of region growing and edge detection. Neighbourhood constraints have been applied on the results of indexing for combining hypotheses ge...

Visual Querying By Color Perceptive Regions

Image databases are now currently employed in an eclectic range of different areas such as entertainment, art history, advertising, medicine and industry among others. In all these contexts, a key problem regards the modality of accessing visual image content. The visual content of an image should be intended as what humans remember after looking at it for a couple of minutes. It may include sh...

Complementary retrieval for distorted images

In today’s computer networks, the amount of digital images increases rapidly and enormously. However, images may be distorted through di.erent types of processing such as histogram equalization, quantization, smoothing, compression, noise corruption, geometric transformation, and changing of illumination. It is imperative to develop an e.ective method to retrieve the original images from very l...

Heterogeneous morphological granulometries

The most basic class of binary granulometries is composed of unions of openings by structuring elements that are homogeneously scaled by a single parameter. These univariate granulometries have previously been extended to multivariate granulometries in which each structuring element is scaled by an individual parameter. This paper introduces the more general class of "lters in which each struct...