An Overview of different Methods of Image Analysis and Object Detection
| Author(s) | : | Dr.Ranjitha M |
| Institution | : | Department of Computer Science, Kristu Jayanti College(Autonomous), Bangalore |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 979-982 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Information can be extracted in different ways. Remote sensing plays vital role in modern world in the field ofsatellite imagery. Different types of objects can be tracked and traced using remote sensing image processing method.We have compiled different methods of object extraction to recognize the objects from common features to particularfeatures. Object recognition in these images is a thought-provoking work basically to achieve an image match. Toachieve efficiency in robust performance, image processing techniques like de-noising of images, sharpening, binarytransformation and edge detection have been used. People essentially want to get information about a particular areafrom these images which are taken from satellite or aircraft. These are very crucial for disaster surveillance or for otherscientific purposes. Various methods based on feature template correlation, object recognition system using multipleinvariant moments and detecting objects based on shapes has been discussed.
Dr.Ranjitha M, “An Overview of different Methods of Image Analysis and Object Detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 979-982, November 2017.
