how to calculate performance of standard edge based algorithm in MATLAB?
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Prerna Surbhi
el 8 de Mayo de 2016
Comentada: Prerna Surbhi
el 8 de Mayo de 2016
hello, I want to compare performance of standard edge based algorithm i.e.(Robert, Canny ,Sobel ,LOG,Prewitt) with each other.Can any one sugggest code for it. I have done my implementation on standard edge based algorithm but facing problem in parameter chosen for comparing it? Is it possible to implement normal probablity density function or normal density function in standard edge based algo?if it is ,so please suggest me what to do?
0 comentarios
Respuesta aceptada
Image Analyst
el 8 de Mayo de 2016
Editada: Image Analyst
el 8 de Mayo de 2016
We don't know what you mean by "normal probablity density function or normal density function". What would the distribution be of ?
I don't know what the "standard edge based algorithm" is. They all use different algorithms. The "true" location of an edge is often a judgment call, so who's to say which on is "right"? What counts is if you can get your task done after using one of them.
So whatyou do is to just try them all, tweaking each until you achieve the "best" edges then see if you can complete the rest of the task. If you have ground truth then you can see which one did best. You can use an ROC curve perhaps. Maybe one didn't give closed curves and you needed closed curves to get solid blobs. So that one would not find as many as some other edge algorithm. You can compare them that way.
Más respuestas (0)
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!