Minimum spanning tree algorithm for skin cancer image object detection

Abstract EN

This paper proposes a new method Object Detection in Skin Cancer Image, the minimum spanning tree Detection descriptor (MST).

This Object Detection descriptor builds on the structure of the minimum spanning tree constructed on the target training set of Skin Cancer Images only.

The Skin Cancer Image Detection of test objects relies on their distances to the closest edge of that tree.

Our experiments show that the Minimum Spanning Tree (MST) performs especially well in case of Fogginess image problems and in high Noise spaces for Skin Cancer Image.

The proposed method of Object Detection Skin Cancer Image was implemented and tested on different Skin Cancer Images.

We obtained very good results.

The experiment showed that the proposed method obtained very good results but it requires more testing on different types of Skin Cancer Images.