The aim of this paper is tо discuss the development of Computer Aided Detection (CAD) system for the detection of surface cracks present in the electro discharge machined Inconel X750, when it is machined with copper electrodes by using Heuristic Algorithms. It is not possible to detect the cracks and flaws accurately in the metal surface by using human vision technology. So there is a need for automated solution tо detect the cracks in the metal surface using CAD system. The detection of flaws in metals is performed in four phases namely Image Enhancement, Segmentation, Feature Extraction and Classification. This paper describes the first phase - various non-linear filters such as mean, median, wiener, Gaussian filters and improved hybrid median are used for effectively removing noise from an image and their performance are analyzed.
The aim of this paper is tо discuss the development of Computer Aided Detection (CAD) system for the detection of surface cracks present in the electro discharge machined Inconel X750, when it is machined with copper electrodes by using Heuristic Algorithms. It is not possible to detect the crack...
مادة فرعية