A Method of Multi-scale Edge Detection for Underwater Image

摘要

This paper presents a new approach for underwater image analysis using the bi-dimensional empirical mode decomposition technique and the phase congruency information. The BEMD algorithm, fully unsupervised, it is mainly applied to texture extraction and image filtering, which are widely recognized as a difficult and challenging machine vision problem. The phase information is the very stability feature of image. Recent developments in analysis methods on the phase congruency information have been received large attention by the image researchers. In this paper, the proposed method is called the EP model that inherits the advantages of the first two algorithms, so this model is suitable for processing underwater image. The EP model could extract multi-pixels edge features at multiple scales. These multi-pixels edge features are extracted by a sifting process. This sifting process is realized utilizing the BEMD method to decompose the given underwater image into several bi-dimensional intrinsic mode functions, and meanwhile using the phase congruency method to extract multi-pixels edge of image. The performance of the multi-scale edge detection is demonstrated in the experiment with natural underwater image.