| dc.contributor.advisor | Chandler, Damon | |
| dc.contributor.author | Kadiyala, Vamsi Krishna | |
| dc.date.accessioned | 2014-04-17T20:08:44Z | |
| dc.date.available | 2014-04-17T20:08:44Z | |
| dc.date.issued | 2007-12-01 | |
| dc.identifier.uri | https://hdl.handle.net/11244/10223 | |
| dc.description.abstract | The importance of defining ROI in gray scale images is clearly established. A new way of proportionating the distortion between ROI and non-ROI is found out. The various factors influencing the ROI have been studied and the relationship between these factors and the perceived interest has been established. A new Algorithm has been proposed to produce an importance map for a given gray scale image. The algorithm takes into account various factors like Size, Location, Blur and Contrast. The results of the algorithm have been found to be satisfactory. A comparison was made between the proposed algorithm and two other widely used algorithm and the proposed algorithm has significantly better results. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Importance of Defining Roi: a Semi- Automated Algorithm for Predicting Importance Maps | |
| dc.type | text | |
| dc.contributor.committeeMember | Fan, Guoliang | |
| dc.contributor.committeeMember | Teague, Keith A. | |
| osu.filename | Kadiyala_okstate_0664M_2537.pdf | |
| osu.college | Engineering, Architecture, and Technology | |
| osu.accesstype | Open Access | |
| dc.description.department | School of Electrical & Computer Engineering | |
| dc.type.genre | Thesis | |
