i am trying to implement Active Shape Model based segmentation. i have developed a model/template for the shape. Next, with the model , i have to search it in a given image.
the template/model consists of many points on the image, each associated with a profile at its location.
To compare the model profile with the profile generated in the test image, i am using euclidean distance as one measure. the other is the correlation points generated by normxcorr2() function.
both are not giving satisfactory answers.
Are there any other measures of similarity between a given template (a 1D signal) and another 1D signal. Please suggest.