An Improve Method of Content Based Image Retireval by Using Different Distance Metric on Color image
| Author(s) | : | Niharika Rastogi, Anuj Bhargava, Prashant Badal |
| Institution | : | Dept. of ECE, S.R.C.E.M College, Gwalior (India) |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 579-590 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Content Based Image Retrieval (CBIR) is the method which uses visual statistics to find the pictures from abig database on the foundation of user’s enter in conditions of query image and usually some effective features for colorstring, HSV histogram, edge detector and intensity map are extracted. And the experimental results based on precision,accuracy and feature extraction (FE) time. This trained database is used for classification of the query image. Accordingto retrieved picture classify. In this set of rules, now we have proposed a mixture of color, form and texture features. Inthis approach, the previous work is enhanced to achieve better precision and reduce feature extraction time. Calculateprecision, execution time and recall of retrieved images.
Niharika Rastogi, Anuj Bhargava, Prashant Badal, “An Improve Method of Content Based Image Retireval by Using Different Distance Metric on Color image”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 579-590, November 2017.
