Analysing roughness of surface through fractal dimension: A review
In last three decades, fractal geometry (FG) has been the focus of attention by several
researchers owing to it exhibiting excellent properties and robust application with respect to …
researchers owing to it exhibiting excellent properties and robust application with respect to …
Differential box counting methods for estimating fractal dimension of gray-scale images: A survey
Fractal dimension is extensively in use as features in computer vision applications to
characterize roughness and self-similarity of objects in an image for many years. These …
characterize roughness and self-similarity of objects in an image for many years. These …
Micrometer-scale fractures in coal related to coal rank based on micro-CT scanning and fractal theory
Microfracture structures of coal seams are the key parameters in the context of enhanced
coalbed methane (ECBM) recovery as they determine permeability and productivity …
coalbed methane (ECBM) recovery as they determine permeability and productivity …
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …
population. Non-invasive and non-contact imaging modalities are being used for the …
Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor
This paper introduces a comparative analysis of the proficiencies of various textures and
geometric features in the diagnosis of breast masses on mammograms. An improved …
geometric features in the diagnosis of breast masses on mammograms. An improved …
Deep analysis of mitochondria and cell health using machine learning
A Zahedi, V On, R Phandthong, A Chaili, G Remark… - Scientific reports, 2018 - nature.com
There is a critical need for better analytical methods to study mitochondria in normal and
diseased states. Mitochondrial image analysis is typically done on still images using slow …
diseased states. Mitochondrial image analysis is typically done on still images using slow …
Fractographic classification in metallic materials by using computer vision
MX Bastidas-Rodriguez, FA Prieto-Ortiz… - Engineering Failure …, 2016 - Elsevier
The first step in the failure analysis is based on the visual inspection of the fracture surface.
This is the base for the development of any fractographic process and it represents the main …
This is the base for the development of any fractographic process and it represents the main …
Analysis of collagen spatial structure using multiphoton microscopy and machine learning methods
YV Kistenev, DA Vrazhnov, VV Nikolaev… - Biochemistry …, 2019 - Springer
Pathogenesis of many diseases is associated with changes in the collagen spatial structure.
Traditionally, the 3D structure of collagen in biological tissues is analyzed using …
Traditionally, the 3D structure of collagen in biological tissues is analyzed using …
Fractal dimension estimation methods for biomedical images
A Napolitano, S Ungania… - MATLAB—A fundamental …, 2012 - books.google.com
The use of medical images has its main aim in the detection of potential abnormalities. This
goal is accurately achieved with the synergy between the ability in recognizing unique …
goal is accurately achieved with the synergy between the ability in recognizing unique …
Computational grading of hepatocellular carcinoma using multifractal feature description
C Atupelage, H Nagahashi, M Yamaguchi… - … Medical Imaging and …, 2013 - Elsevier
Cancer grading has become an important topic in the field of image interpretation-based
computer aided diagnosis systems. This paper proposes a novel feature descriptor to …
computer aided diagnosis systems. This paper proposes a novel feature descriptor to …