Abstract—The Medical Image can be understood by its visual features also known as image signatures. These features when modified or enhanced under certain geometrical functions, it improves the resultant retrieval by the increase of 94% in the performance with the Comparison of 85% in the case of the nearest neighbor and in the case of normal image Retrieval it comes out to be 75 %. This Research includes the approach of calculating edge density is applicable for the five human body parts- Hands, Pelvis, Breast, Brain and Chest and is cam parable to the system in the previous work in literatures. The Result acquired for the proposed system comprises of edge density concepts.
Index Terms—Medical images, edge density, geometric feature vector, content based image retrieval.
The authors are with Guru Nanak Dev Engineering College, Ludhiana, India (e-mail:mannkulvinder@yahoo.com, gill@gmail.com).
[PDF]
Cite: Kulwinder Singh Mann and Er. Jagbir Singh Gill, "Designing Medical CBIR System with Edge Density Criterion," International Journal of Future Computer and Communication vol. 4, no. 2, pp. 118-121, 2015.
