We propose a moving edge extraction method using the concept of entropy and cross-entropy, in which the crossentropy concept is applied to dynamic scene analysis. The cross-entropy concept provides enhancement of detection for the dynamically changed area. We combine the results of cross-entropy in the difference picture (DP) with those of entropy in the current frame so that we can effectively...

We propose a novel framework for the analysis and modeling of discrete edge filters, based on the notion of signed rays. This framework will allow us to easily deduce the geometric and localization properties of a family of firstorder filters, and use this information to design custom filter banks for specific applications. As an example, a set of angle-selective corner detectors is constructed...

A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for change detection, edge detection and segmentation in polarimetric SAR images. Previously, the results for change detection and edge detection have been quantitatively evaluated. This paper deals with the evaluation of segmentation. A segmentation per...

While research on scientific chart recognition is being carried out, there is no suitable standard that can be used to evaluate the overall performance of the chart recognition results. In this paper, a system for semi-automatic chart ground truth generation is introduced. Using the system, the user is able to extract multiple levels of ground truth data. The role of the user is to perform veri...

The paper presents a framework for the detection of curvilinear objects in images. Such objects are challenging to be described by a geometrical model, and although they appear in a number of applications, the problem of detecting curvilinear objects has drawn limited attention. The proposed approach starts with an edge detection algorithm after which the task of object detection becomes a prob...

In order to eliminate the drawbacks in grain reserve management, a grain reserve intelligent audit method was designed. It was achieved by using the edge detection technology towards image samples to determine the edge of each object in the photograph, including the grain, the wall and benchmarks, and then separately holding pattern recognition to ascertain the identity of each object. Then acc...