A Review on Methods of Identifying and Counting Aedes Aegypti Larvae using Image Segmentation Technique

• Published in: Telkomnika 2017-09, Vol.15 (3), p.1199-1206
• Main Authors: Mohd Fuad, Mohamad Aqil, Ab Ghani, Mohd Ruddin, Ghazali, Rozaimi, Sulaima, Mohamad Fani, Jali, Mohd Hafiz, Sutikno, Tole, Ahmad Izzuddin, Tarmizi, Jano, Zanariah
• Format: Article
• Language: English
• Subjects: Academic disciplines; Automation; Color; Fever; Identification; Identification methods; Image segmentation; Larvae; Methods; Mosquitoes; Researchers; Studies; Tropical diseases
• ISSN: 1693-6930; 2302-9293
• DOI: 10.12928/telkomnika.v15i3.6422

Things become worse when difficult access places like water storage tank becomes one of the breeding favorite places for Aedes aegypti mosquitoes. [...]there is a need to help the field operator during the routine inspection for an automated identification and detection of Aedes aegypti larvae, especially at difficult access places. In order to curb the spread of flavivirus vector, the agents need to be eliminated. [...]far, several practices are implemented to control the widespread of this vector such as environmental management, chemical control and also biological control [5]. Thailand has become the world-leading shrimp exporter. Besides automated counting for the insect in field application, image processing method has been implemented in the counting of shrimp larvae by capturing the image above the tank [21]. [...]by marking the foreground of the segmented image and traiting it to the closest centre using Euclidean distance, the processing cost can be lessened.