Multi-focus image fusion: A survey of the state of the art
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 …
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
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 …
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 …
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 …
practical machine learning tasks, such as classification of images in the ImageNet data set …
Deep learning for biological image classification
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 …
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 …
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
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 …
examines current practices, problems, and prospects of image classification. The emphasis …
Droplet-based high-throughput cultivation for accurate screening of antibiotic resistant gut microbes
Traditional cultivation approaches in microbiology are labor-intensive, low-throughput, and
yield biased sampling of environmental microbes due to ecological and evolutionary factors …
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 …
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …
Fruit classification using computer vision and feedforward neural network
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 …
recognize fruits more accurately, we proposed a hybrid classification method based on …