A content-guided searching algorithm for balloons

✍ Scribed by Jiankang Wang; Xiaobo Li

• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 657 KB
• Volume: 36
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(02)00022-5

✦ Synopsis

Cohen and Cohen's balloon model improves the original active contour models by providing an ability to search for distant contours. Driven by an artiÿcial in ating force, a balloon's searching ability is rather primitive. In previous papers, we have presented several new models that incorporate di erent cues in their searching algorithm. In this paper, we present a new method that uses local image contents to guide a balloon's searching process. Sha'ashua and Ullman's saliency map method is used to trace the strongest curve that passes through a particular pixel. This locally-derived information is then used to guide a balloon's searching process. Beneÿting from both a global model and locally derived cues, the combined model is faster and more robust than the original balloon model.