A semi-automatic algorithm to extract the semantic video object in image sequences is proposed. Different schemes are used to get the initial video object in the first frame and other frames of a sequence. In the first frame, two polygons are input by the user to specify the area in which the object boundary is located. Then the video object is extracted automatically based on only the first fr...

This paper proposes a new B-spline based active contour model for extracting areas of interest in an image. The model is governed by original external and internal energies. A self-adaptive technique for energies regulation is used to improve the convergence in terms of quality and rapidity. An adding control point procedure is introduced in order to improve the active contour convergence towar...

Segmentation is a vital aspect of medical imaging. It aids in the visualization of medical data and diagnostics of various dieses. This report presents an implementation of a level set approach for active contour image segmentation. This method is originally developed by Osher and Sethian and then applied to image segmentation by Malladi. No requirements about objects’ shape and allowance for v...

In this paper we present a system for tree leaf segmentation in natural images that combines a first, unrefined segmentation step, with an estimation of descriptors depicting the general shape of a simple leaf. It is based on a light polygonal model, built to represent most of the leaf shapes, that will be deformed to fit the leaf in the image. Avoiding some classic obstacles of active contour ...

Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. It is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. For this, a robust and precise segmentation of the seeds in 2D X-ray is required. First, implanted seeds are segmented using a region-based implicit active contour approac...

In this paper we present a novel method for the segmentation of scintigraphic images in order to detect the two ventricles of the heart. The method is based on the active contour model using a region based approach and parametric representation of the contour. The novel aspect of the method is that we have integrated separating forces between the two ventricles in the active contour model. The ...

We address the problem of nonrigid object segmentation in image sequences in the presence of occlusions. The proposed variational segmentation method is based on a region-based active contour of the Chan-Vese model augmented with a frame-to-frame interaction term as a shape prior. The interaction term is constructed to be pose-invariant by minimizing over a group of transformations and to allow...

Image verification has been widely used in numerous websites to prevent them from batch registration or automated posting. One category of the image verification is generated by adding noise into character or digit images to make them hard to be recognized by Optical Character Recognition (OCR). In this paper, we propose a novel probability gradient function for active contour models to efficie...

Active contour modelling is useful to fit non-textured objects, and algorithms have been developed to recover the motion of an object and its uncertainty. Here we show that these algorithms can be used also with point features matched in textured objects, and that active contours and point matches complement in a natural way. In the same manner we also show that depth-from-zoom algorithms, deve...