We propose a statistical approach to combining edge cues at multiple scales using data driven probability distributions. These distributions are learnt on the Sowerby and South Florida datasets which include the ground truth positions of edges. We evaluate our results using Chernoff information and
A MULTI-SCALE MORPHOLOGIC EDGE DETECTOR
✍ Scribed by BHABATOSH CHANDA; MALAY K. KUNDU; Y. VANI PADMAJA
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 521 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper we present a morphologic edge detection methods using multi-scale approach for detecting edges of various fineness under noisy condition. It is shown that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its superiority over other morphologic edge detectors.
📜 SIMILAR VOLUMES
## Abstract This paper develops a microstructural morphology‐based domain partitioning method (MDP) as a comprehensive pre‐processor for multi‐scale simulation of heterogeneous multi‐phase materials. The MDP method systematically creates a multi‐scale image simulation–characterization methodology t
a b s t r a c t Desynchronization attack is known as one of the most difficult attacks to resist, which can desynchronize the location of the watermark and hence causes incorrect watermark detection. It is a challenging work to design a robust image watermarking scheme against desynchronization atta