Computational normalization of H&E-stained histological images: Progress, challenges and future potential

TAA Tosta, PR de Faria, LA Neves… - Artificial intelligence in …, 2019 - Elsevier
Different types of cancer can be diagnosed with the analysis of histological samples stained
with hematoxylin–eosin (H&E). Through this stain, it is possible to identify the architecture of …

Micro-expression recognition using color spaces

SJ Wang, WJ Yan, X Li, G Zhao… - … on Image Processing, 2015 - ieeexplore.ieee.org
Micro-expressions are brief involuntary facial expressions that reveal genuine emotions and,
thus, help detect lies. Because of their many promising applications, they have attracted the …

Color local texture features for color face recognition

JY Choi, YM Ro, KN Plataniotis - IEEE transactions on image …, 2011 - ieeexplore.ieee.org
This paper proposes new color local texture features, ie, color local Gabor wavelets
(CLGWs) and color local binary pattern (CLBP), for the purpose of face recognition (FR). The …

Sparse tensor discriminant color space for face verification

SJ Wang, J Yang, MF Sun, XJ Peng… - … on Neural Networks …, 2012 - ieeexplore.ieee.org
As one of the fundamental features, color provides useful information and plays an important
role for face recognition. Generally, the choice of a color space is different for different visual …

A novel locally linear KNN method with applications to visual recognition

Q Liu, C Liu - IEEE transactions on neural networks and …, 2016 - ieeexplore.ieee.org
A locally linear K Nearest Neighbor (LLK) method is presented in this paper with
applications to robust visual recognition. Specifically, the concept of an ideal representation …

Eye detection using discriminatory Haar features and a new efficient SVM

S Chen, C Liu - Image and Vision Computing, 2015 - Elsevier
This paper presents an accurate and efficient eye detection method using the discriminatory
Haar features (DHFs) and a new efficient support vector machine (eSVM). The DHFs are …

New image descriptors based on color, texture, shape, and wavelets for object and scene image classification

S Banerji, A Sinha, C Liu - Neurocomputing, 2013 - Elsevier
This paper presents new image descriptors based on color, texture, shape, and wavelets for
object and scene image classification. First, a new three Dimensional Local Binary Patterns …

Tensor discriminant color space for face recognition

SJ Wang, J Yang, N Zhang… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Recent research efforts reveal that color may provide useful information for face recognition.
For different visual tasks, the choice of a color space is generally different. How can a color …

Boosting color feature selection for color face recognition

JY Choi, YM Ro, KN Plataniotis - IEEE transactions on image …, 2010 - ieeexplore.ieee.org
This paper introduces the new color face recognition (FR) method that makes effective use
of boosting learning as color-component feature selection framework. The proposed …

[PDF][PDF] Novel color LBP descriptors for scene and image texture classification

S Banerji, A Verma, C Liu - … vision, and pattern recognition, Las Vegas …, 2011 - ecs.csun.edu
Four novel color Local Binary Pattern (LBP) descriptors are presented in this paper for scene
image and image texture classification with applications to image search and retrieval …