Level set and Watershed for image segmentation

EasyChair Preprint no. 2483

Abstract

level set and watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to image noisy. We present an improvement to the watershed transform that enables the introduction of prior information in its calculation. We propose in this paper a combine the watershed transform and level set to image segmentation. We have applied this algorithm segmented different type of image, to evaluate this methods a validation of the results is provided, demonstrating the strength of the algorithm for image with noise.

Keyphrases: evaluate, level set, Segmentation, Watershed

@Booklet{EasyChair:2483,
  author = {Lahouaoui Lalaoui and Fouad Dib},
  title = {Level set and Watershed for image segmentation},
  howpublished = {EasyChair Preprint no. 2483},

  year = {EasyChair, 2020}}