Multi-focus image fusion: A survey of the state of the art

Y Liu, L Wang, J Cheng, C Li, X Chen - Information Fusion, 2020 - Elsevier
Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

Image retrieval: Ideas, influences, and trends of the new age

R Datta, D Joshi, J Li, JZ Wang - ACM Computing Surveys (Csur), 2008 - dl.acm.org
We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

图像纹理特征提取方法综述

刘丽, 匡纲要 - 中国图象图形学报, 2009 - cqvip.com
纹理是一种重要的视觉线索, 是图像中普遍存在而又难以描述的特征. 纹理分类与分割是图像
处理领域一个经久不衰的热点研究领域, 纹理特征提取作为纹理分类与分割的首要问题 …

A mathematical theory of deep convolutional neural networks for feature extraction

T Wiatowski, H Bölcskei - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
Deep convolutional neural networks (DCNNs) have led to breakthrough results in numerous
practical machine learning tasks, such as classification of images in the ImageNet data set …

Deep learning for biological image classification

C Affonso, ALD Rossi, FHA Vieira… - Expert systems with …, 2017 - Elsevier
A number of industries use human inspection to visually classify the quality of their products
and the raw materials used in the production process, this process could be done …

Shape and texture indexes application to cell nuclei classification

G Thibault, B Fertil, C Navarro, S Pereira… - … Journal of Pattern …, 2013 - World Scientific
This paper describes the sequence of construction of a cell nuclei classification model by the
analysis, the characterization and the classification of shape and texture. We describe first …

A survey of image classification methods and techniques for improving classification performance

D Lu, Q Weng - International journal of Remote sensing, 2007 - Taylor & Francis
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Droplet-based high-throughput cultivation for accurate screening of antibiotic resistant gut microbes

WJ Watterson, M Tanyeri, AR Watson, CM Cham… - Elife, 2020 - elifesciences.org
Traditional cultivation approaches in microbiology are labor-intensive, low-throughput, and
yield biased sampling of environmental microbes due to ecological and evolutionary factors …

Statistics of real-world hyperspectral images

A Chakrabarti, T Zickler - CVPR 2011, 2011 - ieeexplore.ieee.org
Hyperspectral images provide higher spectral resolution than typical RGB images by
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …

Fruit classification using computer vision and feedforward neural network

Y Zhang, S Wang, G Ji, P Phillips - Journal of Food Engineering, 2014 - Elsevier
Fruit classification is a difficult challenge due to the numerous types of fruits. In order to
recognize fruits more accurately, we proposed a hybrid classification method based on …