Multiresolution fractal analysis and classification of neurite images

2010 ◽  
Author(s):  
Bai-ling Zhang ◽  
Wenjin Lu
Keyword(s):  
Fractal Analysis

scholarly journals An Automated Method for the Quantification and Fractal Analysis of Immunostaining

2004 ◽  
Vol 26 (3) ◽  
pp. 125-134
Author(s):  
Armin Gerger ◽  
Patrick Bergthaler ◽  
Josef Smolle
Keyword(s):  
Fractal Analysis ◽  
Quantitative Description ◽  
Fractal Dimensionality ◽  
Texture Features ◽  
Second Step ◽  
Digital Information ◽  
Automated Method ◽  
Reliable Classification ◽  
The One

Aims. In tissue counter analysis (TCA) digital images of complex histologic sections are dissected into elements of equal size and shape, and digital information comprising grey level, colour and texture features is calculated for each element. In this study we assessed the feasibility of TCA for the quantitative description of amount and also of distribution of immunostained material. Methods. In a first step, our system was trained for differentiating between background and tissue on the one hand and between immunopositive and so‐called other tissue on the other. In a second step, immunostained slides were automatically screened and the procedure was tested for the quantitative description of amount of cytokeratin (CK) and leukocyte common antigen (LCA) immunopositive structures. Additionally, fractal analysis was applied to all cases describing the architectural distribution of immunostained material. Results. The procedure yielded reproducible assessments of the relative amounts of immunopositive tissue components when the number and percentage of CK and LCA stained structures was assessed. Furthermore, a reliable classification of immunopositive patterns was found by means of fractal dimensionality. Conclusions. Tissue counter analysis combined with classification trees and fractal analysis is a fully automated and reproducible approach for the quantitative description in immunohistology.

Fractal Analysis for Classification of Electrical Testing of Polymer High Voltage Insulators

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Isaias Ramírez Vázquez ◽  
Jose Ruiz Pinales ◽  
J. Eduardo Salgado Talavera
Keyword(s):  
High Voltage ◽  
Fractal Analysis

scholarly journals Classification of Gamelan Tones Based on Fractal Analysis

2018 ◽  
Vol 288 ◽  
pp. 012022
Author(s):  
A Wintarti ◽  
D Juniati ◽  
I N Wulandari
Keyword(s):  
Fractal Analysis

Fractal analysis for classification of breast lesions

2019 ◽  
Author(s):  
Laura Benita Alvarado Cruz ◽  
Maricela Delgadillo Herrera ◽  
Carina Toxqui-Quitl ◽  
Alfonso Padilla-Vivanco ◽  
Raul Castro Ortega ◽  
...  
Keyword(s):  
Fractal Analysis ◽  
Breast Lesions

AUTOMATED METHODS IN CLUSTERED MICROCALCIFICATIONS DETECTION MODULE OF A CAD SYSTEM

2003 ◽  
Vol 03 (03n04) ◽  
pp. 247-260 ◽  
Author(s):  
WAN MIMI DIYANA ◽  
ROSLI BESAR
Keyword(s):  
Fractal Analysis ◽  
Morphological Processing ◽  
Adaptive Wavelet ◽  
Local Maxima ◽  
Cad System ◽  
Adaptive Wavelet Transform ◽  
High Order Statistics ◽  
Automated Methods ◽  
Aided Diagnosis

Defining region of interests (ROIs) containing abnormal lesions on digital mammograms is the first step in many Computer-Aided-Diagnosis (CAD) systems for the classification of early signs of breast cancer as malignant or benign. The motivation of this paper is to study the efficiency of automated methods used in clustered microcalcifications (MCCs) detection module of a proposed CAD system. The proposed methods are based on several image processing concepts, such as morphological processing, fractal analysis, adaptive wavelet transform, local maxima detection and high-order statistics (HOS) tests. We applied these methods on a set of MIAS database mammograms. The mammograms consisted of two groups, which were cancerous (clustered MCCs) and non-cancerous (normal) and they were digitized at a size of 1024 by 1024 with 256 gray levels. The results showed that the efficiency of HOS test, fractal analysis and morphological approach were 99%, 92% and 74%, respectively. It was proven that the HOS test was the most efficient, and gave reliable results for every mammogram tested.

scholarly journals Classification of Pneumoconiosis by Fractal Analysis

1988 ◽  
Vol 24 (10) ◽  
pp. 1106-1108 ◽  
Author(s):  
Kazunori NAMIKI ◽  
Hidefumi KOBATAKE
Keyword(s):  
Fractal Analysis
Sign in / Sign up

Export Citation Format

Share Document