Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis

MC Yang, WK Moon, YCF Wang… - … on Medical Imaging, 2013 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) systems in gray-scale breast ultrasound images have the
potential to reduce unnecessary biopsy of breast masses. The purpose of our study is to …

Classification of selected medicinal plant leaves using texture analysis

T Sathwik, R Yasaswini, R Venkatesh… - 2013 Fourth …, 2013 - ieeexplore.ieee.org
Plants play one of the most important roles in our ecosystem. But the rapid decline in the
variety of plants is an issue which demands our immediate attention. The first logical step …

[PDF][PDF] International journal of advanced research in computer science and software engineering

S Roy, S Nag, IK Maitra, SK Bandyopadhyay - International Journal, 2013 - academia.edu
Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time
consuming manual task performed by medical experts. Automating this process is a …

[PDF][PDF] Texture feature extraction of infrared river ice images using second-order spatial statistics

P Subashini - International Journal of Computer and Information …, 2013 - academia.edu
Ice cover County has a significant impact on rivers as it affects with the ice melting capacity
which results in flooding, restrict navigation, modify the ecosystem and microclimate. River …

Feature extraction of human viruses microscopic images using gray level co-occurrence matrix

Q Liu, X Liu - 2013 International Conference on Computer …, 2013 - ieeexplore.ieee.org
With the development of information technology in biomedical signal detection, processing
and digital image signal processing, the role of automatic visual recognition becomes more …

Preliminary results of breast cancer cell classifying based on gray-level co-occurrence matrix

A Markkongkeaw, A Phinyomark… - The 6th 2013 …, 2013 - ieeexplore.ieee.org
This study proposes and appraise a gray level co-occurrence matrix (GLCM) for extracting
the feature of cell regions in microscopic image into four region types: positive cancer cell …

[PDF][PDF] Texture feature extraction of infrared river ice images using second-order spatial statistics

PT Bharathi, P Subashini - World Academy of Science, Engineering …, 2013 - academia.edu
Ice cover County has a significant impact on rivers as it affects with the ice melting capacity
which results in flooding, restrict navigation, modify the ecosystem and microclimate. River …

Triangular geometry-based novel feature and a novel algorithm for human identification using dental radiographs

J Raju, CK Modi - Journal of Medical Engineering & Technology, 2013 - Taylor & Francis
Dental X-ray has played an important role in identification of missing or unidentified persons.
Particularly in cases where other identification clues like fingerprint, iris, etc. are not …

Hybrid models for combination of visual and textual features in context-based image retrieval.

L Kaliciak - 2013 - rgu-repository.worktribe.com
Visual Information Retrieval poses a challenge to intelligent information search systems.
This is due to the semantic gap, the difference between human perception (information …

[PDF][PDF] Study on Co-occurrence-based image feature analysis and texture recognition employing diagonal-crisscross local binary pattern

S Hossain - 2013 - core.ac.uk
In this thesis, we focus on several important fields on real-world image texture analysis and
recognition. We survey various important features that are suitable for texture analysis. Apart …