Tag: texture analysis

Congratulations to Dr. Spencer Chang for successfully passing his PhD dissertation exam! Dr. Chang’s research demonstrated the potential of combining learnable histogram features with deep learning convolutional methods. Additionally, he delivered key insights into enhancing statistical texture feature learning and explored the nuances of embedding histogram layers to maximize their impact within feature extraction pipelines. […]

Abstract: Feature engineering often plays a vital role in the fields of computer vision and machine learning. A few common examples of engineered features include histogram of oriented gradients (HOG) (Dalal and Triggs, 2005), local binary patterns (LBP) (Ojala et al., 1994), and edge histogram descriptors (EHD) (Frigui and Gader, 2008). Features such as pixel […]

Congratulations to our labmates and collaborators: Joshua Peeples, Weihuang Xu, and Alina Zare! Their paper, “Histogram Layers for Texture Analysis”, was recently accepted to IEEE Transactions on Artificial Intelligence, 2021. In the paper, the authors present a localized histogram layer for artificial neural networks. Instead of computing global histograms as done previously, the proposed histogram […]