Aiming at the shortcomings of current Canny edge detection method in terms noise removal, threshold setting, and recognition, this paper proposes a for improving by geo-information mapping. The traditional are analyzed using optimal criterion Tobler's First Law, which points out direction optimization difference between properties properties. property characteristics spatial distribution rules ...

In this work, we introduce a new algorithm for effectual crack detection using flying line laser thermography, based on the well-known Canny approach. The transforms input thermographic sequence into an edge map. Experimental measurements are performed metallic component that contains surface breaking cracks due to industrial use. specimen is tested thermography at different scanning speeds and...

BACKGROUND Ultrasonic evaluation of intima-media thickness (IMT) is an early marker of assessing the development of atherosclerosis and determining cardiovascular risk. To attain the best possible diagnosis, it is essential that medical images be clear, sharp and without noise and artifacts. OBJECTIVES Comparison of speckle reducing anisotropic diffusion (SRAD), discrete (DTD) and continuum t...

We address the task of covering a closed orientable surface embedded in < without any prior information about the surface. For applications such as paint deposition, the e ector (the paint atomizer) does not explicitly cover the target surface, but instead covers an o set surface | a surface that is a xed distance away from the target surface. Just as Canny and others use critical points to loo...

This paper presents the concept of a fidelity slider, which is a user-defined method that enables trading off accuracy for performance in a parallelized application. The slider is defined in the context of the Canny edge detector, but can be generalized to other image processing algorithms. The slider moderates discontinuity issues introduced by an image-slicing technique used to increase the l...

Abstract Edge detection is at the forefront of image processing for object detection, so a good understanding edge algorithms essential. This paper aims to analyze ability combined methods identify images, through comparison two different methods, namely combination Sobel and Prewitt (Sobel+Prewitt) with Roberts Canny (Roberts+Canny). The analysis process uses dataset Passion Flower Images obta...

We propose a computational step, called surround suppression, to improve detection of object contours and region boundaries in natural scenes. This step is inspired by the mechanism of non-classical receptive field inhibition that is exhibited by most orientation selective neurons in the primary visual cortex and that influences the perception of groups of edges or lines. We illustrate the prin...

This paper describes a technique for extracting moving targets and robustly tracking them from real time video sequence. It consists of two phases: Initial segmentation, temporal tracking and optimal paraimeter selection. After target detection subsequent tracking is based on a modified Canny edge detection and accelerated Hausdorff measure. The modified canny edge detection algorithm produces ...

image recognition is one of the most important field in image processing that in recent decades had much attention .due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.one of the most important aspe...