Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

Snakes, or active contours, are used extensively in computer vision and image processing
applications, particularly to locate object boundaries. Problems associated with initialization …

In this paper, we proposed a B-Snake based lane detection and tracking algorithm without
any cameras' parameters. Compared with other lane models, the B-Snake based lane …

Active contours, or snakes, are used extensively in computer vision and image processing
applications, particularly to locate object boundaries. A new type of external force for active …

In the past four decades, computerized image segmentation has played an increasingly
important role in medical imaging. Segmented images are now used routinely in a multitude …

We present a new class of deformable contours (snakes) and apply them to the
segmentation of medical images. Our snakes are defined in terms of an affine cell image …

Geometric active contours have many advantages over parametric active contours, such as
computational simplicity and the ability to change the curve topology during deformation …

Deformable models, which include deformable contours (the popular snakes) and
deformable surfaces, are a powerful model-based medical image analysis technique. The …

One of the most commonly used clinical tests performed today is the routine evaluation of
peripheral blood smears. In this paper, we investigate the design, development, and …