Computing the spatial probability of inclusion inside partial contours for computer vision applications
In Computer Vision, edge detection is one of the favored approaches for feature and object
detection in images since it provides information about their objects boundaries. Other …
detection in images since it provides information about their objects boundaries. Other …
Template-based active contours
JK Mogali, AK Pediredla, CS Seelamantula - arXiv preprint arXiv …, 2013 - arxiv.org
We develop a generalized active contour formalism for image segmentation based on shape
templates. The shape template is subjected to a restricted affine transformation (RAT) in …
templates. The shape template is subjected to a restricted affine transformation (RAT) in …
Orientation histogram-based center-surround interaction: An integration approach for contour detection
Contour is a critical feature for image description and object recognition in many computer
vision tasks. However, detection of object contour remains a challenging problem because …
vision tasks. However, detection of object contour remains a challenging problem because …
Contour detection based on contextual influences
Q Tang, N Sang, T Zhang - Image and Vision Computing, 2007 - Elsevier
A contour detection model, inspired by the behavior of the primary visual cortex, is
presented. The response of a central stimulus in the receptive field is affected by the …
presented. The response of a central stimulus in the receptive field is affected by the …
Free Registration Based Shape Prior for Active Contours
MA Mezghich, S M'hiri, F Ghorbel - 2019 27th European Signal …, 2019 - ieeexplore.ieee.org
A novel method of active contours with shape prior knowledge is presented in this research
in order to improve its robustness for partially occluded objects. Our prior is based on a free …
in order to improve its robustness for partially occluded objects. Our prior is based on a free …
A statistical model for contours in images
F Destrempes, M Mignotte - IEEE Transactions on Pattern …, 2004 - ieeexplore.ieee.org
In this paper, we describe a statistical model for the gradient vector field of the gray level in
images validated by different experiments. Moreover, we present a global constrained …
images validated by different experiments. Moreover, we present a global constrained …
Edge and line oriented contour detection: State of the art
We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …
that have been proposed in the last two decades. By edge and line oriented we mean …
Contour detection via stacking random forest learning
Contour detection is an important and fundamental problem in computer vision which finds
numerous applications. Despite significant progress has been made in the past decades …
numerous applications. Despite significant progress has been made in the past decades …
[PDF][PDF] Discriminative Generative Contour Detection.
Contour detection is an important and fundamental problem in computer vision which finds
numerous applications. Despite significant progress has been made in the past decades …
numerous applications. Despite significant progress has been made in the past decades …
[HTML][HTML] A robust contour detection operator with combined push-pull inhibition and surround suppression
D Melotti, K Heimbach, A Rodríguez-Sánchez… - Information …, 2020 - Elsevier
Contour detection is a salient operation in many computer vision applications as it extracts
features that are important for distinguishing objects in scenes. It is believed to be a primary …
features that are important for distinguishing objects in scenes. It is believed to be a primary …