Parametric active contours have been widely used for image segmentation. However,high noise levels and weak edges are the most acute issues that hinder their performance,particularly in medical images. In order to overcome these issues, we propose an external force that weights the gradient vector flow (GVF) field and balloon forces according to local image features. We also propose a mechanism to automatically terminate the contour’s deformation. Evaluation results on real MRI and CT slices show that the proposed approach attains higher segmentation accuracy than snakes using traditional external forces, while allowing initialization using a limited number of selected points.
|Title of host publication||Medical Image Understanding and Analysis 2014|
|Subtitle of host publication||Proceedings of the 18th conference on Medical Image Understanding and Analysis|
|Place of Publication||United Kingdom|
|Publisher||British Machine Vision Association and Society for Pattern Recognition|
|Number of pages||6|
|Publication status||Published - 2014|
|Event||18th Conference on Medical Image Understanding and Analysis 2014 - Royal Holloway, Egham, United Kingdom|
Duration: 09 Jul 2014 → 11 Jul 2014
|Conference||18th Conference on Medical Image Understanding and Analysis 2014|
|Period||09/07/14 → 11/07/14|
Khadidos, A., Sanchez, V., & Li, C-T. (2014). Active contours with weighted external forces for medical image segmentation. In Medical Image Understanding and Analysis 2014: Proceedings of the 18th conference on Medical Image Understanding and Analysis (pp. 149-154). British Machine Vision Association and Society for Pattern Recognition.