Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches
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 …
from radiographic images. The resulting features can be used to inform imaging diagnosis …
Presentation attack detection methods for face recognition systems: A comprehensive survey
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 …
attacks or spoof attacks) has received a great deal of interest from the biometric community …
Image matching from handcrafted to deep features: A survey
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 …
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
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …
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 …
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
Indonesia merupakan negara yang kaya akan sumber daya alam, salah satunya adalah
kayu. Kayu maupun produk dari kayu merupakan komoditas unggulan ekspor. Mengingat …
kayu. Kayu maupun produk dari kayu merupakan komoditas unggulan ekspor. Mengingat …
Local binary features for texture classification: Taxonomy and experimental study
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 …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
Salient object detection: A discriminative regional feature integration approach
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 …
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
This paper proposes a facial expression recognition system using evolutionary particle
swarm optimization (PSO)-based feature optimization. The system first employs modified …
swarm optimization (PSO)-based feature optimization. The system first employs modified …