Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches

M Zhou, J Scott, B Chaudhury, L Hall… - American Journal …, 2018 - Am Soc Neuroradiology
Radiomics describes a broad set of computational methods that extract quantitative features
from radiographic images. The resulting features can be used to inform imaging diagnosis …

Presentation attack detection methods for face recognition systems: A comprehensive survey

R Ramachandra, C Busch - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …

Image matching from handcrafted to deep features: A survey

J Ma, X Jiang, A Fan, J Jiang, J Yan - International Journal of Computer …, 2021 - Springer
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

A survey of the recent architectures of deep convolutional neural networks

A Khan, A Sohail, U Zahoora, AS Qureshi - Artificial intelligence review, 2020 - Springer
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

Texture feature extraction methods: A survey

A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

[PDF][PDF] Klasifikasi Jenis Kayu Menggunakan Support Vector Machine Berdasarkan Ciri Tekstur Local Binary Pattern

N Neneng, NU Putri, ER Susanto - Cybernetics, 2021 - academia.edu
Indonesia merupakan negara yang kaya akan sumber daya alam, salah satunya adalah
kayu. Kayu maupun produk dari kayu merupakan komoditas unggulan ekspor. Mengingat …

Local binary features for texture classification: Taxonomy and experimental study

L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen - Pattern Recognition, 2017 - Elsevier
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

[PDF][PDF] 基于视觉的目标检测与跟踪综述

尹宏鹏, 陈波, 柴毅, 刘兆栋 - 自动化学报, 2016 - aas.net.cn
摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

Salient object detection: A discriminative regional feature integration approach

H Jiang, J Wang, Z Yuan, Y Wu… - Proceedings of the …, 2013 - openaccess.thecvf.com
Salient object detection has been attracting a lot of interest, and recently various heuristic
computational models have been designed. In this paper, we regard saliency map …

A micro-GA embedded PSO feature selection approach to intelligent facial emotion recognition

K Mistry, L Zhang, SC Neoh, CP Lim… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a facial expression recognition system using evolutionary particle
swarm optimization (PSO)-based feature optimization. The system first employs modified …