On the Role of Contrast and Regularity in Perceptual Boundary Saliency

by   Mariano Tepper, et al.
Duke University
Télécom ParisTech

Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We present a method to select the perceptually significant (i.e., contrasted) level lines (boundaries of level sets), using the Helmholtz principle as first proposed by Desolneux et al. Contrarily to the classical formulation by Desolneux et al. where level lines must be entirely salient, the proposed method allows to detect partially salient level lines, thus resulting in more robust and more stable detections. We then tackle the problem of combining two gestalts as a measure of saliency and propose a method that reinforces detections. Results in natural images show the good performance of the proposed methods.


page 2

page 7

page 9

page 12

page 18

page 20

page 21

page 22


A Proof of the Tree of Shapes in n-D

In this paper, we prove that the self-dual morphological hierarchical st...

Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection

Hierarchies, such as the tree of shapes, are popular representations for...

Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency

Salient object detection is evaluated using binary ground truth with the...

Paraphrasing Magritte's Observation

Contrast Sensitivity of the human visual system can be explained from ce...

GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps

Data augmentation is now an essential part of the image training process...

Oversegmenting Graphs

We propose a novel method to adapt a graph to image data. The method dri...

Please sign up or login with your details

Forgot password? Click here to reset