Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …

We conduct an exhaustive survey of image thresholding methods, categorize them, express
their formulas under a uniform notation, and finally carry their performance comparison. The …

This handbook offers a fresh approach to computer vision. The whole vision process from
image formation to measuring, recognition, or reacting is regarded as an integral process …

Image thresholding is a necessary task in some image processing applications. However,
due to disturbing factors, eg non-uniform illumination, or inherent image vagueness, the …

Thresholding is a direct and simple approach to extract different regions from an image. In its
basic formulation, thresholding searches for a global value that maximizes the separation …

Hierarchical B-splines have been widely used for shape modeling since their discovery by
Forsey and Bartels. We present an application of this concept, in the form of free-form …

Thresholding, the problem of pixel classification is attempted here using fuzzy clustering
algorithms. The segmented regions are fuzzy subsets, with soft partitions characterizing the …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

Relying party validator is a critical component of RPKI: it fetches and validates signed
authorizations mapping prefixes to their owners. Routers use this information to block bogus …

An important problem in working with fuzzy sets is the correct construction of the
membership functions that represent the objects of the system. Different experts construct …