Efficient solution of Otsu multilevel image thresholding: A comparative study

MH Merzban, M Elbayoumi - Expert Systems with Applications, 2019 - Elsevier
Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …

Efficient weighted univariate clustering maps outstanding dysregulated genomic zones in human cancers

M Song, H Zhong - Bioinformatics, 2020 - academic.oup.com
Motivation Chromosomal patterning of gene expression in cancer can arise from
aneuploidy, genome disorganization or abnormal DNA methylation. To map such patterns …

Efficient circular thresholding

YK Lai, PL Rosin - IEEE Transactions on Image Processing, 2014 - ieeexplore.ieee.org
Otsu's algorithm for thresholding images is widely used, and the computational complexity of
determining the threshold from the histogram is O (N) where N is the number of histogram …

Integration of multiple orientation and texture information for finger-knuckle-print verification

G Gao, J Yang, J Qian, L Zhang - Neurocomputing, 2014 - Elsevier
Abstract The Competitive Coding (CompCode) scheme, which extracts and codes the local
dominant orientation as features, has been widely used in finger knuckle print (FKP) …

[图书][B] Image processing

JC Russ, JC Russ - 1990 - Springer
In this chapter we deal with the techniques of image processing. These are operations that
start with a grey scale (or color) image and return another grey scale image. The next …

TrueDeep: A systematic approach of crack detection with less data

R Pandey, A Achara - Expert Systems with Applications, 2024 - Elsevier
Supervised and semi-supervised semantic segmentation algorithms require significant
amount of annotated data to achieve a good performance. In many situations, the data is …

A computer-based brain tumor detection approach with advanced image processing and probabilistic neural network methods

B Ural - Journal of Medical and Biological Engineering, 2018 - Springer
For years, automation in tumor detection area has been commonly required because there
might be a shortage of skilled radiologists in this area. In this study, a computer based brain …

Модель оптимизации графового представления для выделения значимых структур на примере предобработки визуальных данных

ИР Сайфудинов, ВВ Мокшин, ПИ Тутубалин… - Вестник …, 2018 - elibrary.ru
Графы-мощное и популярное формализованное описание изображений в
распознавании образов. В частности в области анализа автомобилей они нашли …

Circular mixture modeling of color distribution for blind stain separation in pathology images

X Li, KN Plataniotis - IEEE journal of biomedical and health …, 2015 - ieeexplore.ieee.org
In digital pathology, to address color variation and histological component colocalization in
pathology images, stain decomposition is usually performed preceding spectral …

[图书][B] Microarray image and data analysis: Theory and practice

L Rueda - 2018 - books.google.com
Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and
greatest microarray image and data analysis methods from the multidisciplinary international …