A Pareto-based evolutionary multiobjective approach is adopted to optimize the functionals
in the trace transform (TT) for extracting image features that are robust to noise and invariant …

This paper describes the functional specification and verification portions of El Greco, a
system for high-level, heterogeneous functional specification, efficient compiled simulation …

A good content-based image retrieval must provide a robustness to the spatial changing
problem of an image which causes from different acquisition, such as, zooming image, same …

In this work for CBIR system, all the image feature descriptors including color descriptors,
texture descriptors and shape descriptors are used to represent low-level image features …

Effective texture feature is an essential component in any content‐based image retrieval
system. In this study, new texture features based on image enhancement technique are …

Automation of industrial asset management has gained significant attention due to recent
breakthrough in technologies for object identification and tracking. Unavailability of small …

Nowadays, CBIR is a hotspot of digital image processing techniques. CBIR research started
in the early 1990‟ s and it is likely to continue during the first two decades of the 21st …

For recognizing the objects in the image, the existing image recognition methods only can
identify certain kinds of objects in the image recognition field and the recognition rate is also …

Adoption of Clinical Decision Support Systems in the process of clinical decision process
has been gaining attention in recent times. Such intelligent decision support systems need …

CBIR is the field of digital media that plays important role for extraction of relevant
information from media dataset based on various contents. These contents are signals …