scholarly journals Comparing Intuitionistic Fuzzy Set Theory Method and Canny Algorithm for Edge Detection to Tongue Diagnosis in Traditional Chinese Medicine

2012 ◽  
Author(s):  
Yensheng Chen ◽  
Yuhming Chang ◽  
Jiunncherng Lin
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Edge Detection ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Intuitionistic Fuzzy Set ◽  
Theory Method ◽  
Tongue Diagnosis ◽  
Canny Algorithm

Comparing Intuitionistic Fuzzy Set Theory Method and Canny Algorithm for Edge Detection to Tongue Diagnosis in Traditional Chinese Medicine

2013 ◽  
Vol 756-759 ◽  
pp. 3771-3774
Author(s):  
Yen Sheng Chen ◽  
Yuh Ming Chang ◽  
Jiunn Cherng Lin
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fundamental Problem ◽  
Intuitionistic Fuzzy Set ◽  
Diagnostic System ◽  
Complex Task ◽  
Edge Information ◽  
Tongue Diagnosis ◽  
Human Tongue ◽  
Canny Algorithm

The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). Human tongue is one of the im­portant organs which contain the information of health status. Image segmentation has always been a fundamental problem and complex task in the field of image processing and computer vision. Its goal is to change the representation of an image into something that is more meaningful and easier to analyze. In other words, it is used to partition a given image into several parts in each of which the intensity is homogeneous. In order to achieve an automatic tongue diagnostic system, an effective segmentation me­thod for detecting the edge of tongue is very important. We mainly compare the Chan Vese Method and Canny algorithm for edge segmentation. The segmentation using Canny algorithm may produce many false edges after cutting; thus, it is not suitable for use. But, for our two steps Chan Vese method can automatically select the best edge information. Therefore, it may be useful in clinical automated tongue diagnosis system. Experiments show the results of these techniques.

Segmentation Of Blood Clot MRI Images Using Intuitionistic Fuzzy Set Theory

2018 ◽  
Author(s):  
Nur Lyana Shahfiqa Binti Albashah ◽  
Sarat Chandra Dass ◽  
Vijanth Sagayan Asirvadam ◽  
Fabrice Meriaudeau
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Blood Clot ◽  
Intuitionistic Fuzzy Set ◽  
Intuitionistic Fuzzy

Decision Making in Medical Diagnosis via Distance Measures on Interval Valued Fuzzy Sets

2017 ◽  
Vol 6 (4) ◽  
pp. 63-83 ◽  
Author(s):  
Palash Dutta
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Medical Diagnosis ◽  
Intuitionistic Fuzzy Set ◽  
Distance Measures ◽  
Medical Documentation ◽  
Interesting Area ◽  
Interval Valued

The uncertain and sometimes vague, imprecise nature of medical documentation and information make the field of medical diagnosis is the most important and interesting area for applications of fuzzy set theory (FST), intuitionistic fuzzy set (IFS) and interval valued fuzzy set (IVFS). In this present study, first resemblance between IFS and IVFS has been established along with reviewed some existing distance measures for IFSs. Later, an attempt has been made to derive distance measures for IVFSs from IFSs and establish some properties on distance measures of IVFSs. Finally, medical diagnosis has been carried out and exhibits the techniques with a case study under this setting.

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