A computer vision toolkit focused on advanced edge and boundary detection techniques using the Hough Transform and Active Contour Models (Snakes). Developed as an academic assignment, this project ...

Image segmentation is a key step from image processing to image analysis, and it is also a basic computer vision technology. Image segmentation, object separation, feature extraction, and parameter ...

<P>Shape is a critical element of computer vision systems, and can be used in many ways and for many applications. Examples include classification, partitioning, grouping, registration, data mining, ...

A novel approach to geometric shape preservation of remote sensing SAR sea ice images is presented in this paper. This approach will complement the existing edge detection schemes. The final edge is ...

The algorithm begins by importing necessary libraries such as os for file system interactions, numpy for numerical operations, cv2 for computer vision tasks, and matplotlib.pyplot for image ...

2D image-based 3D shape retrieval (2D-to-3D) aims at searching the corresponding 3D shapes (unlabeled) when given a 2D image (labeled), which is a fundamental task in computer vision and has gained a ...

Reconstructing a 3D shape from a single 2D image is a classic computer vision challenge. Although the task almost seems to come naturally to humans, machines struggle to recover occluded or only ...

[2] A phase correlation based peak detection method for accurate shape from focus measurements. Measurement (2023). [3] Guided image filtering in shape-from-focus: A comparative analysis .