Individuals at five grade levels (kindergarten, Grade 2, Grade 4, Grade 6, and college) made pair-comparison judgments of visual complexity. The influence of the presence or absence of six types of visual structure (double symmetry, vertical symmetry, horizontal symmetry, diagonal symmetry, checkerboard organization, and rotational organization) and of amount of contour were examined. Two gener...

This article describes a method for evolving adaptive procedures for the contour-based segmentation of anatomical structures in 3D medical data sets. With this method, the user first manually traces one or more 2D contours of an anatomical structure of interest on parallel planes arbitrarily cutting the data set. Such contours are then used as training examples for a genetic algorithm to evolve...

A procedure for detecting contours automatically is particularly needed when processing sequences of cardiographic images. In fact, in this field the number of images to be processed is, in general, large enough to make a manual tracing phase unacceptable. In this paper a new approach to automatic contour detection from image sequences is presented. If a rough contour of the desired structure i...

In many medical image segmentation applications identifying and extracting the region of interest (ROI) accurately is an important step. The usual approach to extract ROI is to apply image segmentation methods. In this paper, we focus on extracting ROI by segmentation based on visual attended locations. Chan-Vese active contour model is used for image segmentation and attended locations are det...

Structures that can detect the shapes in images in a flexible manner are widely used today. Active contour model, which is one of these structures, is an important model. This model aims to surround the shape with points and to enable these points to fit into the shape. However, since Active Contour Model contains energy minimization, it requires long working time. Scaling based model developed...

Contour trees are extensively used in scalar field analysis. The contour tree is a data structure that tracks the evolution of level set topology in a scalar field. Scalar fields are typically available as samples at vertices of a mesh and are linearly interpolated within each cell of the mesh. A more suitable way of representing scalar fields, especially when a smoother function needs to be mo...

The crust and upper mantle structure of the Greater Lesser Antilles Arc provides insights into key subduction zone processes in a unique region slow convergence old slow-spreading oceanic lithosphere. We use ambient noise tomography gathered from island broadband seismic stations temporary ocean bottom seismometer network installed as part Volatile Recycling experiment to map crustal shear-wave...

We present an algorithm of matching 3D volumetric functions based on affine-invariant multi-resolution dual contour trees. A dual contour tree structure is constructed from the contour tree of a volume by dividing its functional range into segments such that the connected contour tree edges within a segment become a node in the dual tree. Each node of the dual contour tree corresponds to a conn...

This paper proposes a novel method to generate robust contour partition points and applies them to produce point context and contour segment features for shape matching. The main idea is to match object shapes by matching contour partition points and contour segments. In contrast to typical shape context method, we do not consider the topological graph structure since our approach is only consi...