UNAMBIGUOUS CONTROL POINT SELECTION IN AUTOMATIC IMAGE REGISTRATION USING EDGE DETECTED IMAGE ENERGY CROSS CORRELATION
| Author(s) | : | Mr. Abhishek D Patel |
| Institution | : | Assistant Professor, Department of Computer Engineering K.J. Institute of Engineering & Technology, Savli |
| Published In | : | Vol. 5, Issue 11 — November 2018 |
| Page No. | : | 14-18 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper is about how to decide unambiguous control points for automatic image registration. The basicalgorithm is depending on cross-correlation similarity measure. But due to geometrically distorted images this similaritymeasure need some good decision capability. So this paper explores the integrity of other parameters for correct points.The image is first divided into sub images and calculates the energy of each sub image. Based on those values it can besort out from low energy to high energy sub image. It also considers the similarity of points using edge detection likecanny edge detector. Instead of operating on gray scale image this algorithm tells to operate on edge image which isopted using canny edge detection method. Both reference and geometrically distorted images now have only highfrequency information which is helpful to find control points matching using energy of sub images between these twoimages. once control points match correctly it is very easy to perform transformation on distorted image.
Mr. Abhishek D Patel, “UNAMBIGUOUS CONTROL POINT SELECTION IN AUTOMATIC IMAGE REGISTRATION USING EDGE DETECTED IMAGE ENERGY CROSS CORRELATION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 11, pp. 14-18, November 2018.
