Reliable quantitative analysis of digital rock images requires precise segmentation and
identification of the macroporosity, sub-resolution porosity, and solid\mineral phases. This is …

The skeleton of a digital image is a compact representation of its topology, geometry, and
scale. It has utility in many computer vision applications, such as image description …

Abstract Skeleton Ground Truth (GT) is critical to the success of supervised skeleton
extraction methods, especially with the popularity of deep learning techniques. Furthermore …

Although various studies based on thermal images have been conducted, few studies have
focused on the simultaneous extraction of joints and skeleton information of an object from a …

In this research, we study the problem of font image skeletonization using an end-to-end
deep adversarial network, in contrast with the state-of-the-art methods that use mathematical …

Geometrical analysis of a shape through skeletonization has some of very important high-
and low-level application which includes tracking, manipulation, retrieval, representation …

This article introduces a novel approach to generate visually promising skeletons
automatically without any manual tuning. In practice, it is challenging to extract promising …

This paper presents a high-speed skeletonization algorithm for detecting the skeletons of
linear objects from their binary images. The primary objective of our research is to achieve …

Accurate crop row detection is often challenged by the varying field conditions present in
real-world arable fields. Traditional colour based segmentation is unable to cater for all such …

In our research, we study the problem of font synthesis using an end-to-end conditional
deep adversarial network with a small sample of Korean characters (Hangul). Hangul …