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Image Retrieval from an Engineering Database using Shape and Depth Feature

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Academic year: 2020

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Figure

Fig. 1. Proposed method indicating the basic idea used in this  paper
Fig. 2. Processing an input image (a) Grayscale image (b) (a)                      (b)                     (c) Binarized image (c) Contour extraction
Fig. 4. Retrieval Results for some Engineering objects
Fig 7 the precession-recall graph of total matches and  accuracy is drawn

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