An Optimal Segmentation Method Using Jensen-Shannon Divergence via a Multi-Size Sliding Window Technique

作者：Katatbeh Qutaibeh D^*; Martinez Aroza Jose; Francisco Gomez Lopera Juan; Blanco Navarro David

来源：Entropy, 2015, 17(12): 7996-8006.

DOI：10.3390/e17127858

• entropy
• Jensen-Shannon divergence
• image segmentation
• entropic edge detection
• multi-size window processing

In this paper we develop a new procedure for entropic image edge detection. The presented method computes the Jensen-Shannon divergence of the normalized grayscale histogram of a set of multi-sized double sliding windows over the entire image. The procedure presents a good performance in images with textures, contrast variations and noise. We illustrate our procedure in the edge detection of medical images.

• 出版日期2015-12