MOOC - Computer Vision Expert
Computer Vision Fundamentals
The second unit of this job role provides insights on the underlying principles of computer vision as well as its main characteristics.
Image Segmentation:
This learning element focus on the fundamental aspects of image segmentation, focusing on the different types of image segmentation and their domain of application.
CVE.U2.E6.PC1
The student understands the definition, purpose and need of image segmentation.
CVE.U2.E6.PC2
The student knows the different types of image segmentation algorithms.
CVE.U2.E6.PC3
The student can define region-based segmentation.
CVE.U2.E6.PC4
The student knows the differences between threshold segmentation and regional growth segmentation.
CVE.U2.E6.PC5
The student defines edge detection segmentation.
CVE.U2.E6.PC6
The student knows and differentiates the sobel and Laplacian operators.
CVE.U2.E6.PC7
The student is able to define segmentation based on clustering.
CVE.U2.E6.PC8
The student knows the different use-cases of each image segmentation algorithm.
CVE.U2.E6.PC9
The student is able to select the most fitting image segmentation algorithm and assess its behaviour.