A novel level set approach for image segmentation with landmark constraints

Image segmentation with fast distance transform (FDT) and morphological skeleton in microalgae Raceway culture systems applications

“…There are very complex techniques in image segmentation, which involve programming algorithms that include equations referring to differential and integral calculus (Pan et al, 2019;Liu et al, 2019).…”

Segmentation using fuzzy cluster‐based thresholding method for apple fruit sorting

“…A 2D histogram‐based segmentation method to improve the efficiency of multilevel thresholding segmentation using a new non‐local 2D histogram means and gravitational search algorithm was proposed in [5] and its experimental results outperformed other 2D methods on a majority performance measures. In [6] a model for segmentation using the classical Chan–Vese model which incorporated prior landmark information as constraints were given and segmentation results was compared with the original Chan–Vese model showed many advantages with broad applications. In [7] a robust 2D Otsu threshold method was designed using a 2D histogram that was built based on the median and average filter applied images and the results improved the robustness of traditional Otsu methods for Gaussian filtered and salt/pepper images.…”

The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation

“…Therefore, the subject of landmarks in image segmentation is now more relevant than ever. Motivated by image registration with landmarks [11]- [13], Pan et al [14] proposed a Chan-Vese model [15] with landmark constraints (CVL) under the variational level set framework. The model not only enforces the segmentation contour to pass through some pre-selected feature points but also improves computational efficiency and weakens the dependence of the segmentation result on initialization.…”