Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

We propose a novel shape descriptor for matching and recognizing 2D object silhouettes.
The contour of each object is represented by a fixed number of sample points. For each …

The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern
Recognition published in 2000. Three new chapters, which are research results conducted …

Clustering as a fundamental unsupervised learning is considered an important method of
data analysis, and K-means is demonstrably the most popular clustering algorithm. In this …

Skeletons can be viewed as a compact shape representation in that each shape can be
completely reconstructed from its skeleton. However, the usefulness of a skeletal …

Thinning is one of the most important techniques in the field of image processing. It is
applied to erode the image of an object layer-by-layer until a skeleton is left. Several …

Image mosaicking is defined as the registration of two or more images that are then
combined into a single image. One of the most difficult steps in the automatic mosaicking of …

This paper presents a very efficient algorithm for image denoising based on wavelets and
multifractals for singularity detection. A challenge of image denoising is how to preserve the …

Character skeleton plays a significant role in character recognition. The strokes of a
character may consist of two regions, ie, singular and regular regions. The intersections and …

This paper presents a method to despeckle Synthetic Aperture Radar (SAR) image, and
then extract geographical features in it. In this research work, speckle is reduced by …