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A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
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 …
[HTML][HTML] DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Abstract Background and Objective: Although automated Skin Lesion Classification (SLC) is
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices
This paper presents a preliminary study for map** sea ice patterns (texture) with 100-m
ERS-1 synthetic aperture radar (SAR) imagery. The authors used gray-level co-occurrence …
ERS-1 synthetic aperture radar (SAR) imagery. The authors used gray-level co-occurrence …
Study of statistical methods for texture analysis and their modern evolutions
Texture analysis is widely performed in the current time as it is considered as an intimate
property of the surface. It is widely used in the field of image processing, remote sensing …
property of the surface. It is widely used in the field of image processing, remote sensing …
Multichannel texture analysis using localized spatial filters
A computational approach for analyzing visible textures is described. Textures are modeled
as irradiance patterns containing a limited range of spatial frequencies, where mutually …
as irradiance patterns containing a limited range of spatial frequencies, where mutually …
Computer-vision-based fabric defect detection: A survey
A Kumar - IEEE transactions on industrial electronics, 2008 - ieeexplore.ieee.org
The investment in an automated fabric defect detection system is more than economical
when reduction in labor cost and associated benefits are considered. The development of a …
when reduction in labor cost and associated benefits are considered. The development of a …
Real-time texture synthesis by patch-based sampling
We present an algorithm for synthesizing textures from an input sample. This patch-based
sampling algorithm is fast and it makes high-quality texture synthesis a real-time process …
sampling algorithm is fast and it makes high-quality texture synthesis a real-time process …
Segmentation of a high-resolution urban scene using texture operators
RW Conners, MM Trivedi, CA Harlow - Computer vision, graphics, and …, 1984 - Elsevier
A study aimed at segmenting a high-resolution black and white image of Sunnyvale,
California, is described. In this study regions were classified as belonging to any one of nine …
California, is described. In this study regions were classified as belonging to any one of nine …
[BOG][B] Signal analysis: time, frequency, scale, and structure
RL Allen, D Mills - 2004 - books.google.com
Offers a well-rounded, mathematical approach to problems in signal interpretation using the
latest time, frequency, and mixed-domain methods Equally useful as a reference, an up-to …
latest time, frequency, and mixed-domain methods Equally useful as a reference, an up-to …