In this paper the application of edge detection techniques to gravity data are described. Edge enhancement in potential-field data helps geologic interpretation. There exist several methods for enhancing edges, such as tilt angle, and the derivative of tilt angle. Most of these methods are high-pass filters based on the horizontal or vertical derivatives of the field. To determine the filters n...

curvature. The boundary of an object is first represented into curvature measured by K-cosine. Then, by modifying the corner detection error, this study proposes a suitable K value and curvature threshold for robust corner detection. Furthermore, the proposed K-cosine corner detection (KCD) was verified with several commonly employed digital objects. The experimental results reveal that the pro...

In this paper we propose a method to detect human faces in color images , that uses a combination of color spaces and edge detection for segmentation. Algorithm ingeniously combines different color space models, specifically, HSI and YCbCr along with Canny and Prewitt edge detection techniques.Experimental results indicate improved false acceptance rates. The overall performance of the face det...

An edge is one of the most important and basic features in an image. Edge detection is one of the most important research fields in computer vision and is a hot topic in image measurement technology. In this paper, based on the research and analysis of existing edge detection techniques, a new Canny adaptive edge detection method is proposed. This method has the adaptive ability, which can real...

We aim at using color information to classify the physical nature of edges in video. To achieve physics-based edge classification, we first propose a novel approach to color edge detection by automatic noise-adaptive thresholding derived from sensor noise analysis. Then, we present a taxonomy on color edge types. As a result, a parameter-free edge classifier is obtained labeling color transitio...

In this paper, a novel approach based on edge line segments and texture is presented for urban change detection. First, we extract edge line segments based on Canny edge detector and line-support regions based on gradient orientation, Then changed edge line segments are found and grouped into clusters as potential changed regions which are finally validated using the difference of pixels and te...

Monitoring ephemeral gullies facilitates water planning and soil conservation. Artificial interpretation based on high spatial resolution images is the main method for monitoring ephemeral gullies in large areas; however, this method is time consuming. In this study, a semiautomatic method for extracting ephemeral gullies in loess hilly areas based on directional edge detection is proposed. Fir...

There are a large number of application fields where measurements deriving from digital images can assume a great relevance. Nevertheless, to make a profitable use of such measurements, it is indispensable to achieve a complete and quantitative control on uncertainties that real systems introduce along the chain of steps going from real-world objects to the results of the measurement process. T...