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Computer and Robot Vision I

Computer and Robot Vision I

Computer and Robot Vision I. Chapter 11 Arc Extraction and Segmentation. Presented by: ??? ??? b03502040@ntu.edu.tw ???????? ??. 11.1 Introduction. Grouping Operation : segmented or labeled image sets or sequences of labeled or border pixel positions.

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1.5k views • 146 slides
Computer and Robot Vision I

Computer and Robot Vision I

Computer and Robot Vision I. Chapter 11 Arc Extraction and Segmentation. Presented by: ??? d06922037@ntu.edu.tw ???????? ??. 11.1 Introduction. In some image sets, lines, curves, and circular arcs are more useful than regions or helpful in addition to regions. object recognition

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1.23k views • 121 slides
FLUKA Advanced Biasing

FLUKA Advanced Biasing

FLUKA Advanced Biasing. FLUKA Users Meeting CERN 31/05/2007. Outline. Sampling Random numbers Sampling from discrete & generic distributions Sampling from biased distributions FLUKA User biasing routines USIMBS UDCDRL SOURCE Application: n_TOF biasing example. Pseudo-Random number.

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1.05k views • 61 slides
CS 4487/9587 Algorithms for Image Analysis

CS 4487/9587 Algorithms for Image Analysis

CS 4487/9587 Algorithms for Image Analysis. Segmentation (2D) Acknowledgements: Alexei Efros, Steven Seitz. CS 4487/9587 Algorithms for Image Analysis Segmentation (2D). Blobs Need for blobs Extracting blobs Thresholding, region growing, mean-shift Minimum spanning trees

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714 views • 44 slides
Recap

Recap

Recap. Low Level Vision. Input Image sensor data Processing Neighborhood operators Mathematical operators Local contextual operators Output Pixel based features. Mid Level Vision. Input Pixel based features Processing Statistical operators Mathematical operators

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461 views • 32 slides

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