In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

More and more images have been generated in digital form around the world. There is a
growing interest in finding images in large collections or from remote databases. In order to …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

" A picture is worth one thousand words". This proverb comes from Confucius-a Chinese
philosopher about 2500 years ago. Now, the essence of these words is universally …

This book introduces the fundamental concepts of modern digital image processing. It aims
to help the students, scientists, and practitioners to understand the concepts through clear …

This paper proposes a fuzzy logic approach, UFM (unified feature matching), for region-
based image retrieval. In our retrieval system, an image is represented by a set of …

Shape is one of the primary low-level image features exploited in the newly emerged
content-based image retrieval (CBIR). Many shape methods exist. Among these shape …

Effective and efficient retrieval of similar shapes from large image databases is still a
challenging problem in spite of the high relevance that shape information can have in …

This paper introduces a new feature vector for shape-based image indexing and retrieval.
This feature classifies image edges based on two factors: their orientations and correlation …