Multiprocessor-embedded image acquisition and processing method and device

An image acquisition and multi-processor technology, applied in processor architecture/configuration, image analysis, image communication, etc., can solve problems such as low efficiency, high cost, and complex algorithms, so as to improve processing speed, improve processing efficiency, and guarantee The effect of accuracy and completeness

Active Publication Date: 2012-06-20
苏州巨佳电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for applications in the field of high-speed, real-time feature text and symbol recognition, these methods have obvious shortcomings, such as complex algorithms, low efficiency, and high cost.

Method used

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  • Multiprocessor-embedded image acquisition and processing method and device
  • Multiprocessor-embedded image acquisition and processing method and device

Examples

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Embodiment 1

[0072] A multiprocessor embedded image acquisition and processing device, which includes an image sensor, the image sensor is connected to the image sensor control circuit, the image sensor is connected to the image acquisition and segmentation module, and the image acquisition and segmentation module is connected to a plurality of subprocessors, Each sub-processor is respectively connected with the corresponding memory; the image sensor control circuit is also respectively connected with the image acquisition and segmentation module, each sub-processor and the corresponding memory.

[0073] The image sensor is a CMOS image sensor or a CCD image sensor.

[0074] The image sensor is an area array image sensor with a resolution greater than 500,000 pixels and a speed of at least 100 frames per second.

[0075] Alternatively, the image sensor is a linear image sensor with a resolution greater than 4000 pixels and a speed of at least 6000 lines per second.

[0076] The image sens...

Embodiment 2

[0079] A multiprocessor embedded image acquisition and processing device, which includes an image sensor, the image sensor is connected to the image sensor control circuit, the image sensor is connected to the image acquisition and segmentation module, and the image acquisition and segmentation module is connected to a plurality of subprocessors, Each sub-processor is respectively connected with the corresponding memory; each sub-processor and the corresponding memory are connected with the main processor, and the main processor is also respectively connected with the image sensor control circuit and the image acquisition and segmentation module.

[0080] The image sensor is a CMOS image sensor or a CCD image sensor.

[0081] The image sensor is an area array image sensor with a resolution greater than 500,000 pixels and a speed of at least 100 frames per second.

[0082] Alternatively, the image sensor is a linear image sensor with a resolution greater than 4000 pixels and a ...

Embodiment 3

[0087] In double-lane license plate recognition:

[0088] In high-performance vehicle real-time monitoring systems, technology applications based on high-speed imaging are becoming more and more common. For the monitoring of two lanes, a single image sensor system can be used. In order to realize the real-time processing of a large amount of image data, two processors are used to process the image information of the left and right lanes respectively. The image acquisition module divides the image into two parts, and each part covers a lane respectively. Among them, both parts include the part where the two lanes meet. Then the images of the left and right lanes are sent to the two processors respectively. In this way, difficulties in license plate recognition can be avoided when the vehicle crosses the lane. Such as Figure 4 As shown in , the position of the license plate of the vehicle crossing the line is exactly in the middle of the original image. If the image is sim...

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Abstract

The invention relates to a multiprocessor-embedded image acquisition and processing method and device which have the advantages of simple algorithm, high efficiency and low cost. The invention comprises image processing hardware structure, an image segmentation method, an image processing algorithm and an image synthesis method. The device comprises an image sensor, wherein the image sensor is connected with an image sensor control circuit, and also connected with an image acquisition and segmentation module; the image acquisition and segmentation module is connected with a plurality of subprocessors; the subprocessors are respectively connected with corresponding memories; and the image sensor control circuit is also respectively connected with the image acquisition and segmentation module, the subprocessors and the corresponding memories. Compared with the system with a multi-image sensor, the system provided by the invention is more convenient to install and use, and the cost is lower.

Description

technical field [0001] The invention relates to an image processing device and method, in particular to a multi-processor embedded image acquisition and processing method and device. Background technique [0002] Machine vision is more and more widely used in the field of high-speed, real-time feature text and feature symbol recognition. Existing embedded machine vision systems generally consist of an image sensor and a processor. The processor is used to acquire and process the images generated by the image sensor. Some systems can consist of multiple image sensors and a processor. The processor can selectively select images from one of the image sensors for processing. [0003] In high-speed image acquisition and processing systems, the speed of the image sensor is very fast, and usually a processor cannot complete real-time image processing. The existing method is to store the image in the memory first, and then send the image to the processor for processing at a rela...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/335H04N5/341G06T1/20G06T7/00G06K9/20
Inventor 庄佑华
Owner 苏州巨佳电子科技有限公司
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