2015
DOI: 10.2507/ijsimm14(4)1.301
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Computer Vision-Based Approach to End Mill Tool Monitoring

Abstract: The paper is concerned about the system of automatic detecting of wear and damages of the end mill tool by the use of computer vision. By using the algorithms developed for image segmentation and by an innovative approach to extraction of features describing individual end mill tool tooth the information representing significant features of the individual tool tooth is effectively gained from the captured image. The proposed approach to feature extraction is robust and independent of the scale and rotation of … Show more

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Cited by 23 publications
(11 citation statements)
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“…The project aimed for assuring traceability of in-process measurements EMRP TIM [5] is already in the conclusion phase. Different standards were designed, manufactured and calibrated.…”
Section: Resultsmentioning
confidence: 99%
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“…The project aimed for assuring traceability of in-process measurements EMRP TIM [5] is already in the conclusion phase. Different standards were designed, manufactured and calibrated.…”
Section: Resultsmentioning
confidence: 99%
“…It is assured through organisational, executing and monitoring activities [1][2][3][4]. Most commonly applied process monitoring activities are measurements of product geometry and visual checks [5]. One of the most important measurement tasks is measuring complex product geometry.…”
Section: Introductionmentioning
confidence: 99%
“…Plus, the processing time depends on the performance of specific machines. In essence, the problem is equivalent to the optimization of the overall performance indices of the system by assigning the operations to machines, setting the start time of the operation, and determining the processing order [21][22].…”
Section: Problem Descriptionmentioning
confidence: 99%
“…Owing to the development of modern technologies for manufacture of bio-compatible materials (CAM systems [11] and advanced additive manufacturing technologies [12,13]), the boundaries of RE application have been shifted towards medicine and dentistry.…”
Section: Introductionmentioning
confidence: 99%