Thermographic image analysis as a pre-screening tool for the detection of canine bone cancer

2014 ◽  
Author(s):  
Samrat Subedi ◽  
Scott E. Umbaugh ◽  
Jiyuan Fu ◽  
Dominic J. Marino ◽  
Catherine A. Loughin ◽  
...  
Keyword(s):  
Image Analysis ◽  
Screening Tool ◽  
Bone Cancer ◽  
Thermographic Image

Thermographic image analysis for classification of ACL rupture disease, bone cancer, and feline hyperthyroid, with Gabor filters

2017 ◽  
Author(s):  
Mehrdad Alvandipour ◽  
Scott E. Umbaugh ◽  
Deependra K. Mishra ◽  
Rohini Dahal ◽  
Norsang Lama ◽  
...  
Keyword(s):  
Image Analysis ◽  
Bone Cancer ◽  
Gabor Filters ◽  
Acl Rupture ◽  
Thermographic Image

Retinal Image Analysis: A Review

2012 ◽  
pp. 265-269
Author(s):  
S. R. Nirmala ◽  
Malaya Kumar Nath ◽  
Samarendra Dandapat
Keyword(s):  
Image Analysis ◽  
Retinal Image ◽  
Screening Tool ◽  
Review Paper ◽  
Age Related Macular Degeneration ◽  
Hypertensive Retinopathy ◽  
Human Errors ◽  
Remote Areas ◽  
Age Related ◽  
The Relationship

Images of the eye ground or retina not only provide an insight to important parts of the visual system but also reflect the general state of health of the entire human body. Automated retina image analysis is becoming an important screening tool for early detection of certain risks and diseases like diabetic retinopathy, hypertensive retinopathy, age related macular degeneration, glaucoma etc. This can in turn be used to reduce human errors or to provide services to remote areas. In this review paper, we discuss some of the current techniques used to automatically detect the important clinical features of retinal image, such as the blood vessels, optic disc and macula. The quantitative analysis and measurements of these features can be used to better understand the relationship between various diseases and the retinal features.

scholarly journals A neural approach for thermographic image analysis

2006 ◽  
Author(s):  
T. Z'Orazio ◽  
M. Leo ◽  
A. Distante ◽  
V. Pianese ◽  
G. Borzacchiello ◽  
...  
Keyword(s):  
Image Analysis ◽  
Thermographic Image

A novel image processing procedure for thermographic image analysis

2018 ◽  
Vol 56 (10) ◽  
pp. 1747-1756 ◽  
Author(s):  
Sara Matteoli ◽  
Davide Coppini ◽  
Andrea Corvi
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Processing Procedure ◽  
Thermographic Image

scholarly journals Segmentation of Thermogram Based on Region Based Technique using Split and Merge Method

2019 ◽  
Vol 8 (4) ◽  
pp. 9574-9578
Keyword(s):  
Image Analysis ◽  
Image Segmentation ◽  
Object Representation ◽  
Region Of Interest ◽  
Region Growing ◽  
Destructive Testing ◽  
Segmentation Methods ◽  
Split And Merge ◽  
Thermographic Image ◽  
Non Destructive

The main aim of segmentation is to identify the Region of Interest for image analysis. The segregation of an image into meaningful structures is often an important phase in image analysis, object representation, visualization and also in various other image processing tasks. Image segmentation is mostly useful in applications like detection where it is difficult to process whole image at a time. In this paper Region based image segmentation is used to identify the delaminations in Thermographic image of Infrared Non-Destructive Testing. There are two basic techniques in Region based segmentation viz. Region growing method, splitting and merging method. New method based Split and Merge segmentation technique is employed to identify the defective regions in thermogram. Results obtained after segmentation as compared with state of art segmentation methods

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