Recursive Measures of Edge Accuracy on Digital Images
Jeffrey Zheng, Chris Zheng · 2018
Abstract In this chapter, an edge accuracy model is proposed on digital images and five types of edge detection methods are discussed as examples to investigate their edge maps undertaken recursive operations. Using invariant criterion, it is possible to compare different schemes in accuracy, consistency, completeness and simplicity. This provides general mechanism in relation to accurate edge extractions from digital images.