Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding

1993 ◽  
Vol 12 (3) ◽  
pp. 385-392 ◽  
Author(s):  
B.D. Thackray ◽  
A.C. Nelson
Keyword(s):  
Mathematical Morphology ◽  
Automatic Segmentation ◽  
Vascular Network ◽  
Structuring Element

Automatic segmentation of newborn brain MRI using mathematical morphology

2011 ◽  
Author(s):  
Laura Gui ◽  
Radoslaw Lisowski ◽  
Tamara Faundez ◽  
Petra S. Huppi ◽  
Francois Lazeyras ◽  
...  
Keyword(s):  
Mathematical Morphology ◽  
Automatic Segmentation ◽  
Brain Mri ◽  
Newborn Brain

Silhouette Processing Via Mathematical Morphology with Pose-Aware Structuring Elements Based on 3D Model

2012 ◽  
Vol 17 (4) ◽  
pp. 71-78
Author(s):  
Mirosław Jabłoński
Keyword(s):  
Mathematical Morphology ◽  
3D Model ◽  
Structuring Element ◽  
Software Packages ◽  
Camera Image ◽  
Platform Comparison ◽  
Element Computation ◽  
Camera Parameters ◽  
The Individual

Abstract In the paper, the method of poseaware silhouette processing is presented. Morphological closing is proposed to enhance segmented silhouette object. The contribution of the work is adaptation of structuring element used for mathematical morphology erosions and dilations. It is proposed to use camera parameters, 3D model of the scene, model of the silhouette and its position to compute structuring element adequate to the individual projected to the camera image. Structuring element computation and basic morphology operators were implemented in OpenCL environment and tested on parallel GPU platform. Comparison with utility software packages is provided and results are briefly discussed.

scholarly journals Trajectory-Based Morphological Operators: A Model for Efficient Image Processing

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Antonio Jimeno-Morenilla ◽  
Francisco A. Pujol ◽  
Rafael Molina-Carmona ◽  
José L. Sánchez-Romero ◽  
Mar Pujol
Keyword(s):  
Mathematical Morphology ◽  
Morphological Operations ◽  
Real Time Systems ◽  
Morphological Operation ◽  
Industrial Systems ◽  
Structuring Element ◽  
Element Size ◽  
High Resolution Images ◽  
Set Of Points ◽  
Time Systems

Mathematical morphology has been an area of intensive research over the last few years. Although many remarkable advances have been achieved throughout these years, there is still a great interest in accelerating morphological operations in order for them to be implemented in real-time systems. In this work, we present a new model for computing mathematical morphology operations, the so-called morphological trajectory model (MTM), in which a morphological filter will be divided into a sequence of basic operations. Then, a trajectory-based morphological operation (such as dilation, and erosion) is defined as the set of points resulting from the ordered application of the instant basic operations. The MTM approach allows working with different structuring elements, such as disks, and from the experiments, it can be extracted that our method is independent of the structuring element size and can be easily applied to industrial systems and high-resolution images.

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