Shape description is an important task in content-based image retrieval (CBIR). A variety of
techniques have been reported in the literature that aims to represent objects based on their …

This paper presents a novel approach for both fast and accurately retrieving similar shapes.
A hierarchical string cuts (HSCs) method is proposed to partition a shape into multiple level …

Vascular pathology symptoms can be determined by retinal image segmentation and
classification. However, the retinal images from non-invasive diagnostics have a complex …

In this paper, we report retrieval and classification of shape-based objects employing three
techniques-conventional Fourier descriptors (FD), generic Fourier descriptors (GFD) and …

In our time of rapidly changing Information Technology (IT) age, there is growing interest in
Pattern Recognition and Machine Intelligence and its applications to Biometrics in academia …

Shape descriptors have demonstrated encouraging potential for retrieving images based on
image content, and a number of them have been reported in the literature. Nevertheless …

Quantification of the actin cytoskeleton is of prime importance to unveil the cellular force
sensing and transduction mechanism. Although fluorescence imaging provides a …

In this paper we define a multi-scale distance between shapes based on geodesics in the
shape space. The proposed distance, robust to outliers, uses shape matching to compare …

Fault diagnosis is very important to ensure the safe operation of hydraulic generator units
(HGU). Shaft orbit identification has been highlighted as an effective method for HGU fault …

Current industrial surface inspection systems are capable of detecting various defects and
producing images of them. The defect images are collected into large image databases …