Statistical Image Processing and Multidimensional Modeling Introduction to Pattern Recognition and Machine Learning ... Automatic detection of the ice edge in SAR imagery using curvelet transform and ...

This project was part of the aformentionned course and in which the paper Active contour model driven by local histogram fitting energy by Weiping Liu, Yanfeng Shang, Xin Yang was implemented. It is ...

Introduction This paper presents a stochastic active contour model for image segmentation from cardiac MR images. The proposed algorithms aims to minimize an energy functional by the level set method ...

Active contour for image segmentation is implemented using Chan-Vese energy function. Narrow-band method and various data strutures are applied here to speed up the evolution of active contour. OpenCV ...

Face recognition is one of the most spectacular and difficult biometric recognition methods because of the influence of the external factors like: distance, illumination, changes of person's ...

The active contour method has been one of the widely used techniques for image segmentation; however, due to low quality of ultrasound images, it has encountered difficulties. In this paper, we ...

Chan-Vese active contour model is used for image segmentation and attended locations are determined by SaliencyToolbox. The implementation of the toolbox is extension of the saliency map-based model ...

Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour. Title: Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour: ...