Convolutional neural networks have shown successful results in image classification
achieving real-time results superior to the human level. However, texture images still pose …

In this paper, the comparison between deep learning methods and feature extraction
algorithms is presented. The principle of Grey-Level Co-occurrence Matrix (GLCM) and its …

Color texture classification is a significant computer vision task to identify and categorize
textures that we often observe in natural visual scenes in the real world. Without color and …

Fabric defects can significantly impact the quality of a textile product. By analyzing the types
and frequencies of defects, manufacturers can identify process inefficiencies, equipment …

Accepted: 13 December 2022 Recognizing real visual textures in the nature have been a
challenging task since they are complex and stochastic. In spite of several decades of …

Skin cancer is a general health problem. It can occur in young and adults. The most deadly
and prevalent kind is melanoma. It occurs in melanocyte cells, which create melanin, and …

Deep learning methods have been successfully applied to remote-sensing problems for
several years. Among these methods, CNN-based models have high accuracy in solving the …

Convolutional neural networks have shown successful results in image classification
achieving real-time results superior to the human level. However, texture images still pose …

In deep learning, transfer learning (TL) has become the de facto approach when dealing
with image related tasks. Visual features learnt for one task have been shown to be reusable …

All human nutrition is based on vegetables. As a result, they are critical for crop production,
ensuring that everyone has access to enough, safe, and nutritious food to live an active and …