FO-DPSO Algorithm for Segmentation and Detection of Diabetic Mellitus for Ulcers

Title

FO-DPSO Algorithm for Segmentation and Detection of Diabetic Mellitus for Ulcers

Creator

Naveen J.; Selvam S.; Selvam B.

Description

In recent days, the major concern for diabetic patients is foot ulcers. According to the survey, among 15 people among 100 are suffering from this foot ulcer. The wound or ulcer found which is found in diabetic patients consumes more time to heal, also required more conscious treatment. Foot ulcers may lead to deleterious danger condition and also may be the cause for loss of limb. By understanding this grim condition, this paper proposes Fractional-Order Darwinian Particle Swarm Optimization (FO-DPSO) technique for analyzing foot ulcer 2D color images. This paper deals with standard image processing, i.e. efficient segmentation using FO-DPSO algorithm and extracting textural features using Gray Level Co-occurrence Matrix (GLCM) technique. The whole effort projected results as accuracy of 91.2%, sensitivity of 100% and specificity as 96.7% for Nae Bayes classifier and accuracy of 91.2%, sensitivity of 100% and sensitivity of 79.6% for Hoeffding tree classifier. 2023 World Scientific Publishing Company.

Source

International Journal of Image and Graphics, Vol-23, No. 3

Date

2023-01-01

Publisher

World Scientific

Subject

diabetic wound; FO-DPSO; Foot ulcer; GLCM; Hoeffding tree; Nae Bayes

Coverage

Naveen J., CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Selvam S., BNM Institute of Technology, Karnataka, Bangalore, India; Selvam B., Anna University (BIT Campus), Tamil Nadu, Tiruchirappalli, India

Rights

Restricted Access

Relation

ISSN: 2194678

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1142/S0219467822400113

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128994918&doi=10.1142%2fS0219467822400113&partnerID=40&md5=9380223987621831383cbea76bd985ed