[PDF][PDF] Early breast cancer detection using mammogram images: a review of image processing techniques

Y Ali, S Hamed - biosciences biotechnology research ASIA, 2015 - researchgate.net
Breast cancer is one of the most common cancers worldwide among women so that one in
eight women is affected by this disease during their lifetime. Mammography is the most …

Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images

I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …

IDENTIFICATION OF FACTORS THAT NEGATIVELY AFFECT THE GROWTH OF AGRICULTURAL CROPS BY METHODS OF ORTHOGONAL TRANSFORMATIONS.

M Yessenova, G Abdikerimova… - Eastern-European …, 2022 - search.ebscohost.com
This paper focuses on aerospace image analysis methods. Aerospace images are
considered for the study of agricultural crops of northern Republic of Kazakhstan belonging …

A comparative study for texture classification techniques on wood species recognition problem

JY Tou, YH Tay, PY Lau - 2009 Fifth international conference …, 2009 - ieeexplore.ieee.org
Wood species recognition is a texture classification problem that has yet to be well studied.
The textures observed on the cross section surface of the wood samples can be used to …

[PDF][PDF] Features of growth of agricultural crops and factors negatively affecting their growth

M Yessenova, G Abdikerimova… - Indonesian Journal of …, 2023 - academia.edu
This article is about methods of analyzing aerial images. Images from Planet. com for crops
in North Kazakhstan owned by the Center for Cereal Production and Research. AI Barayev …

[PDF][PDF] Texture segmentation: different methods

VV Bhosle, VP Pawar - International Journal of Soft Computing and …, 2013 - Citeseer
Image Segmentation is an important pixel base measurement of image processing, which
often has a large impact on quantitative image analysis results. The texture is most important …

An experimental study and analysis of different image segmentation techniques

SU Mageswari, M Sridevi, C Mala - Procedia engineering, 2013 - Elsevier
Image segmentation is a process of classifying or identifying sub patterns in a given image.
Image segmentation is widely used in applications like automatic pattern recognition …

Automatic classification of liver diseases from ultrasound images using GLRLM texture features

K Raghesh Krishnan, R Sudhakar - … of the 5th International Workshop Soft …, 2013 - Springer
Ultrasound imaging is considered to be one of the most cost-effective and non-invasive
techniques for conclusive diagnosis in some cases and preliminary diagnosis in others …

An automatic identification system of human skin irritation

A Fadlil - TELKOMNIKA (Telecommunication Computing …, 2010 - telkomnika.uad.ac.id
Quantitative characterization of human skin irritation is important but it is difficult task to be
done. Recently, an identification of human skin is still doing manually. Indeed, the …

Histogram of Radon transform and texton matrix for texture analysis and classification

C Di Ruberto - IET Image Processing, 2017 - Wiley Online Library
In this study, the authors introduce a new and efficient method to classify texture images.
From the histogram of the Radon transform, a texture orientation matrix is obtained and …