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Proceedings ArticleDOI

Two-dimensional object recognition on parallel machines

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TLDR
The paper discusses the motivation of the above choice and the characteristics of the selected algorithm, and presents two versions of the parallel object characterized by different workload strategies and different performance.
Abstract
The work concerns the adoption of distributed-memory MIMD parallel machines for the implementation of two-dimensional object recognition in digital images. The paper discusses the motivation of the above choice and the characteristics of the selected algorithm, and presents two versions of the parallel object characterized by different workload strategies and different performance.

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Citations
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Proceedings ArticleDOI

Visual servoing in ISAC, a decentralized robot system for feeding the disabled

TL;DR: A three-phase visual servoing algorithm which balances speed with complexity is described and a technique for compensating for network delays is presented.
Proceedings ArticleDOI

Calibration of a pole-mounted camera using a neural network

TL;DR: The calibration of the vision system dedicated to object recognition is described, which includes a camera used to recognize the objects on the table and a pair of cameras being used to locate the user's mouth in real time.
References
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Journal ArticleDOI

HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

TL;DR: The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatic picking and repositioning of partially overlapping industrial parts to provide strong robustness to partial occlusions.
Journal ArticleDOI

Fast polygonal approximation of digitized curves

TL;DR: A new technique for fast “scan-along” computation of piecewise linear approximations of digital curves in 2-space is described and the application to the boundaries of the images of a lung and a rib in chest radiographs is illustrated.
Proceedings ArticleDOI

Edge detection on massively parallel machines: a local threshold approach

TL;DR: By partitioning the image in suitably small windows, the probability of having only one edge chain in each window is maximized, enhancing the effectiveness of the optimal threshold selection criterion, and the scalability of the application is ensured.
Proceedings ArticleDOI

Image Processing on Parallel Machines: A Protocol For Managing Global Objects

TL;DR: The psobleni considesec1 in this popes is the clefiiiiti~ii of n coilti-ol strntegy for- iiinringing objects spaniiiiig over sevei-nf wiiidoivs qf an iitinge, whemves st.c.rch wiiic/oivs nse nssigned to clffireiit iiodes of’ o tli.