Object's contour detection scheme based on image fusion

Abstract

Three novel object's contour detection schemes based on image fusion are proposed in this paper. In these schemes an active contour model is applied to detect the object's contour edge. Since an object's contour in an infrared (IR) image is usually clearer than that in a visible image, the convergent active contour in a visible image is improved with that in an IR image. The first contour detection scheme is realized by revising the shape-preserving active contour model. The second scheme minimizes the B-spline L ₂ norm's square of the difference of the B-spline control point vectors in two modal images. Contour tracking and extraction experiments indicate that the first scheme outperforms the second one. Moreover, a third scheme based on the active contour and pixel-level image fusion is proposed for images with incomplete but complementary scene information. An example using contour extraction of a partially hidden tank proves its efficacy.

Keywords:

• image processing
• contour detection
• image fusion
• feature-level fusion
• active contour

2000 AMS Subject Classification:

• 68U10

Acknowledgements

This research is supported by the National Natural Science Foundation of China under Grants No. 69775007 and 60075010. We also express many thanks and best regards for the valuable revision comments proposed by the three reviewers.