The histological grading of cervical intraepithelial neoplasia (CIN) remains subjective, resulting in inter-and intra-observer variation and poor reproducibility in the grading of cervical lesions. This study has attempted to develop an objective grading system using automated machine vision. The ar
โฆ LIBER โฆ
Prototype machine vision system for segmentation of hide images
โ Scribed by Dmitry Chetverikov; Attila Lerch
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 494 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0899-9457
No coin nor oath required. For personal study only.
โฆ Synopsis
We give a brief description of the operation principles of LeaVis, a prototype industrial machine vision system aimed at processing and segmentation of the images of hides marked by lines and other symbols that show defects and areas of different quality. The goal of LeaVis is to provide a visual input for a CAD system that sets trajectories for the knife cutting the hides. We discuss the basic motivations of the vision system design, present some of its algorithms, and demonstrate examples of their operation.
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