A gradient image describes the differences of neighboring pixels in the image. Extracting
edges only depending on a gradient image will results in noised and broken edges. Here …

A feature-based approach to visual/IR sensor image registration is presented. This new
method overcomes the difficulties caused by the discrepancy in data's gray-scale …

This paper describes a novel method for edge feature detection of document images based
on wavelet decomposition and reconstruction. By applying the wavelet decomposition …

Edge detection is defined as the process of detecting and representing the presences of and
locations of image signal discontinuities, which serves as the basic transformation of signals …

Microbial ecology is flourishing, and in the process, is making contributions to how the
ecology and biology of large organisms is understood. Ongoing advances in sequencing …

We detected edges in noisy images using multiresolution analysis with the wavelet
transform. Products of wavelet coefficients at several scales were used to identify and locate …

In this work we present the method we have developed in order to achieve edge detection
and classification in gray level images for five different contour types: step, ramp, stair, pulse …

This work presents an image segmentation method for range data that uses multiscale
wavelet analysis in combination with statistical pattern recognition. A feature-detection …

In this paper a new method for medical images analysis has been proposed. It is based in a
multiresolution schema in combination with a k-means clustering algorithm. The edge …

In this paper, a new noise reduction algorithm is proposed. In general, an edge-high
frequency information in an image-would be filtered or suppressed after image smoothing …