M arkovian approaches to early vision processes need a huge amount of computing power. These algorithms can usually be implemented on parallel computing structures. Herein, we show that the Markovian labeling approach can be implemented in fully parallel cellular network architectures, using simple functions and data representations. This makes possible to implement our model in parallel imagin...

We report on our experience with parallelizing a computer vision algorithm. The algorithm employs low-level image processing techniques which are relatively easy to parallelize and intermediate-level computer vision techniques which lack the regularity and locality of image processing algorithms. The application is an excellent candidate for use as a benchmark. We implement two parallel version...

the science and technology health plan has defined the outline of health research to the national vision of iran by 2025. the aim of this study was to focus on the process of needs assessment of health research projects also health research priority setting in iran.the project management life cycle has four phases: initiation, planning, execution and closure. based on abovementioned points we c...

depth and shape in low level visual processing. Baaed on the copatational theory and Para1 lel Distr ibuted Processing theory, a parallel algorithm for realizing subjective color vision(SCV) is presented in this paper. The paper contains following sections: the computational theory for low level color vision is mentioned at first section; Then PDP algorithm of color vision is described. Finally...

Pyramids have received a great deal of interest as a data structure for use in hierarchical computer vision. This paper describes a language for the description of pyramid algorithms, supporting conceptually parallel pattern-matching and arithmetic operations. The language is defined by adding constructs from a notation for pyramid algorithms called Hierarchical Cellular Logic to the general-pu...

Object recognition in general is still a challenging task today. Problems arise for example from parallel segmentation and localization or the problem to detect objects invariant of position, scale and rotation. Humans can solve all these problems easily and thus neurocomputational and psychological data could be used to develop similar algorithms. In our model, attention reinforces the relevan...

knowledge representation technology can be applied to computer vision and to explore extensions to knowledge representation systems to directly aid computer vision research (especially in the area of spatial reasoning). The VEIL project investigates the benefits available to vision applications obtainable via the introduction of declarative programming techniques, specifically, techniques avail...

This paper discusses a parallel architecture designed for autonomous mobile robot navigation tasks. Parallelism is used to enhance system speed and developmental exibility. The system-called MADRON-consists of ve independent parallel agents sharing common data and control information. They are a communication agent for interfacing the system with a `Ralph' class autonomous mobile robot, a visio...

Pixel-parallel PE and SIMD architectures are widely used in high-speed image processing to enhance computing power. With fully exploiting the data level parallelism of lowand middle-level image processing, SIMD architecture is able to finish great amount of computation with much less instruction cycle thus satisfy the high-speed system requirement. The main computation parts in those SIMD image...