Edge Detection of Malaria Parasites Using Ant Colony Optimization

被引：0

作者：

Kaur, Damandeep ^{[1
]}

Walia, Gurjot Kaur ^{[1
]}

机构：

[1] GNDEC, Ludhiana, Punjab, India

来源：

PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17) | 2017年

关键词：

Pheromone; Edge Detection; Medical Images; pixels; intensity; ACO; BLOOD;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Ant colony optimization (ACO) is algorithm used for optimization motivated by the natural behaviour of species of ants. In this ants retain pheromone for foraging at the ground. ACO has been originated to detect the edges of microscopic images of blood samples which are affected by malaria disease. The edge detection approach of ACO is used to maintain pheromone matrix which determines the information of edges provided at every image pixel position, based on no. of ants movement that are dispatched to be in motion on the image. Thus, changes in the intensity values of images determine the movement of the ants. The results have been taken to study an approach for Ant Colony Edge Detection method.

引用

页码：451 / 456

页数：6

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