Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
AutoKey: human assisted key extraction
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Interactive segmentation with Intelligent Scissors
Graphical Models and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Flower image recognition using difference image entropy
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
An interactive flower image recognition system
Multimedia Tools and Applications
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This paper presents a newmetho d for automatically extracting an object region from a photograph based upon a well-known method "Intelligent Scissors" (IS). For our application, it will be shown that (1) the cost should not be based on accumulated cost adopted by IS but rather on average cost and (2) only a fewpast pixels are needed for deciding the future route. It will be shown that our new method will be able to extract object region with a correct rate of approximately 93% if object images are well-focused.