This paper provides a comprehensive review of automatic recognition of woven fabric
structural parameters in recent years. Fabric structural parameters mainly include fabric …

Convolutional neural networks (CNNs) have become a classic approach to solving
challenging computer vision problems. Much of its success is due to its ability to discover …

The weave pattern (texture) of woven fabric is considered to be an important factor of the
design and production of high-quality fabric. Traditionally, the recognition of woven fabric …

The use of Gabor filters in image processing has been well-established, and these filters are
recognized for their exceptional feature extraction capabilities. These filters are usually …

The fabric pattern recognition and subsequently the classification is an imperative task in
textiles. Currently, this is done manually, therefore, the need of the requirement is to develop …

Fabric is an important part and parcel of our lives. In addition to fabric color and texture,
fabric weave also determines the physical appearance and physical properties of the fabric …

The fabric quality in textile industry is characterized by the texture (weave pattern) as it plays
a vital role for the production and design of best quality fabric. The earlier proposed …

This paper introduces fabric texture dataset which contains 300 labelled images to facilitate
research in developing presentation algorithm for this challenging scenario. The next …

The Alzheimer disease (AD) is a neurologic brain condition, which affects the cells in the
brain and eventually renders a 16 patient incapable of performing routine daily tasks. Due to …

Over the years, image recognition has been gaining popularity due to its various possible
usages. Convolutional Neural Networks (CNNs) have been the classic approach taken on …