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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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A 1,000 Frames/s Programmable Vision Chip with Variable Resolution and Row-Pixel-Mixed Parallel Image Processors.

Qingyu Lin1, Wei Miao, Wancheng Zhang

  • 1State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China; E-Mail: qylin@red.semi.ac.cn (Q.-Y.L.).

Sensors (Basel, Switzerland)
|March 29, 2012
PubMed
Summary
This summary is machine-generated.

This study presents a novel programmable vision chip capable of variable resolution and high-speed image processing. The chip enables real-time, low-level and mid-level image analysis for applications like target tracking.

Keywords:
image processingmachine visionmathematical morphologyvision chip

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Area of Science:

  • Integrated Circuits
  • Computer Vision
  • Image Processing

Background:

  • Traditional image processing systems often face limitations in speed and flexibility.
  • The demand for real-time visual analysis in applications like robotics and surveillance is increasing.

Purpose of the Study:

  • To introduce a novel programmable vision chip with integrated image processing capabilities.
  • To achieve variable resolution and high-speed processing for diverse vision applications.

Main Methods:

  • A CMOS sensor array with row-parallel 6-bit Algorithmic ADCs and pixel-parallel SIMD Processing Element (PE) array.
  • Implementation of gray-scale and binary mathematical morphology algorithms for low-level and mid-level image processing.
  • Fabrication of a prototype chip (64x64 pixels, 6-bit gray-scale) using 0.18 μm Standard CMOS process.

Main Results:

  • The vision chip demonstrates variable resolution, allowing high resolution for focused areas and low resolution for general views.
  • Achieved image processing speeds exceeding 1,000 frames per second (fps).
  • Successfully performed low-level and mid-level image processing tasks.

Conclusions:

  • The developed programmable vision chip offers a flexible and high-performance solution for real-time image processing.
  • The chip's capabilities are suitable for demanding applications such as high-speed target tracking.