Hough fuzzy vertices detection algorithm for indentation hardness of materials
碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 90 === Hardness value of material has been found to be very important in industrial. It is related to tensile strength of many metals and is also an indicator of wear resistance and ductility. Usually the hardness value is measured by an operator via microscopy. It i...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/54920337741386927960 |
| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系碩士班 === 90 === Hardness value of material has been found to be very important in industrial. It is related to tensile strength of many metals and is also an indicator of wear resistance and ductility. Usually the hardness value is measured by an operator via microscopy. It is not only time-consuming but also requires an experienced and skillful operator to ensure the accuracy. The test result may be different for different operators due to eye fatigue and long working time. Automatic hardness measurement can efficiently solve this problem for operators.
In order to overcome the unavoidable affects of vertex detection due to surface contaminations or specimen texture, a novel automatic Vickers hardness measuring method called Hough fuzzy vertices detection algorithm (HFVDA) is proposed. HFVDA transforms all the candidate pixels on the indentation edge lines into Hough space. Within Hough space, a weighted fuzzy c-means algorithm along with local maximum detection is proposed to find the transformed indentation edge lines. It will be shown that HFVDA is able to find the indentation vertices and calculate the hardness number with high accuracy for either specular-polished or rough-polished specimens.
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