I would like to ask for more information on how Chamfer Matching algorithm (an edge matching algorithm) can be used to find 'similar' images. I would like to know if it is possible to place a 'score' for the matched results.
相关问题
- Views base64 encoded blob in HTML with PHP
- How to get the background from multiple images by
- Finding k smallest elements in a min heap - worst-
- binary search tree path list
- CV2 Image Error: error: (-215:Assertion failed) !s
相关文章
- What are the problems associated to Best First Sea
- Use savefig in Python with string and iterative in
- Coin change DP solution to keep track of coins
- Where does this quality loss on Images come from?
- Specifying image dimensions in HTML vs CSS for pag
- How to insert pictures into each individual bar in
- Algorithm for partially filling a polygonal mesh
- Robust polygon normal calculation
The Chamfer Matching Algorithm basically calculates the distance (dis-similarity) between two images. The basic idea is to:
This gives the Chamfer Distance i.e. a value of dis-similarity between two images. The lower the value better the result. However, you have to take care of scaling, and sliding windows as well if target image is larger than query image which is often the case.
You could find working exampling on opencv\modules\contrib.