S Urface R Oughness P Rediction with D Enoising Using W Avelet F Ilter
نویسندگان
چکیده
In today’s competitive world, the best way to survive a company is to produce a good service and a quality product. One of the best way to monitor the surface quality of a machined part is to measure the surface roughness. Surface metrology with image processing is a challenging task having wide applications in industry. Surface roughness can be evaluated using prediction approach. Image denoising involves the manipulation of the image data to produce a visually high quality image. The filtering approach has been proved to be the best when the image is corrupted. The need for quality control and performance testing has become an integral part of the procedure. Surface finish plays an important role in several engineering applications like surface quality of any machined part, performance of good quality machined components and significantly improves fatigue strength, corrosion resistance, creep life etc.
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