The compound eyes of insect are highly optimized for the task of visual acquisition of relevant information from the environment, such as moving object detection. These have attracted the attention of many researchers in recent years. The advantages of compound eyes are illustrated in this paper in relation to other approaches in moving object detection. The paper describes the imaging mechanis...

Andrea Baraldi Flavio Parmiggiani IMGA-CNR Via Emilia Est 770 41100 Modena, Italy E-mail: [email protected] Abstract. In the literature on computer vision, very few contour detection algorithms are designed to deal with color images. In this paper, we present the multispectral contour detection algorithm (MSCDA) which is designed to process multispectral digital images as well as monoch...

We propose an approach to accurately detecting two dimensional shapes. The cross-section of the shape boundary is modeled as a step function. We first derive a one-dimensional optimal step edge operator, which minimizes both the noise power and the mean squared error between the input and the filter output. This operator is found to be the derivative of the double exponential (DODE) function. W...

Online detection of protection orbit round as an important part of the train, the tread wear parameters traffic safety is important. Like the wheel of the measurement techniques based on optical screenshots Dimensions dynamic detection 'access to a complete round of the contour image is essential. For the round image features is proposed based on region developing the round image segmentation a...

Edge detection technology of oil spills image on the sea is one of most key technologies to monitor oil spills on the sea. In this paper, we present a novel region-based active contour model for oil spills remote sensing images. In the proposed model, we define a local Gaussian distribution fitting energy term, and this energy term is introduced into a global minimization active contour framewo...

Active contours3 (snakes) are a sophisticated approach to contour extraction in image interpretation. They challenge the widely held view that low-level vision tasks such as edge detection are ’bottom-up’ processes; features are extracted from an image and higher level processes interpolate to find a suitable representation. The principal disadvantage with such an approach is its serial nature;...

This Master's thesis concerns development and implementation of a computational neuronal model for the neuronal activity of cells involved in contour detection in the primary visual cortex. The model aims at imitating neuronal behaviour and connections in the primary visual cortex to investigate whether a group of neurons detecting the same contour tend to synchronize. Simulation results from t...

We present a novel active contour-based tracking algorithm for highly deformable and fast moving curvilinear structures. We propose to use line features as external forces for the active contour for the detection phase in the first frame. For the tracking part, we propose a novel approach of detecting motion of the endpoints and then deformation of the other points using the same active contour...

In this paper we describe a new method of position detection for a mesh-backed printing screen with an alignment mark that is overlapped by mesh patterns. A circular hole is selected as an alignment mark so that at least a portion of its contour can be observed through the windows of the mesh wires. To recognize the true contour, the smallest circle enclosing binary patterns acquired with a tra...

Mammography is the best method for early mass detection. In order to limit the search for abnormalities by Computer Aided Diagnosis systems to the region of the breast without undue influence from the background of the mammogram, extraction of the breast contour and pectoral muscle is necessary. Breast contour helps to find the position of the nipple, which its position is important for mass de...