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Design of an embedded system with modified contrast limited adaptive histogram equalization technique for real-time image enhancement

机译:具有修改对比度有限自适应直方图均衡技术的嵌入式系统设计,用于实时图像增强

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摘要

As automate system is an efficient one, that also decreases the malfunctions and error. Industries have more demand to adopt such systems. To enhance this capability image processing based system has a major role. Designing an embedded system with these facilities is difficult and challenging task. Interfacing of such systems should be simple so that the system is user friendly. To develop this system with various facilities, this piece of work has been attempted. Histogram equalization (HE) is a popular technique for contrast enhancement of images whereas contrast limited adaptive histogram equalization (CLAHE) is another method. However, both methods show unnatural results for images with large background. In order to improve this drawback a new method, known as contrast limited adaptive histogram equalization with variable enhancement degree (CLAHEwVED) is introduce which gives better result as compared to Histogram equalization with variable enhancement degree (HEwVED) technique targeted to an embedded platform. The enhancement degree of CLAHEwVED and HEwVED is controlled by one parameter. The work is developed in Raspberry pi development board. The result of the process is fully automated without any user intervention.
机译:随着自动化系统是一个有效的系统,也会降低故障和错误。行业有更多要求采用此类系统。为了增强这种能力,基于图像的系统具有重要作用。使用这些设施设计嵌入式系统是困难和具有挑战性的任务。这种系统的接口应该是简单的,使系统是用户友好的。要使用各种设施开发该系统,这一工作已被尝试。直方图均衡(HE)是一种流行的图像,用于对比度增强图像,而对比度有限的自适应直方图均衡(CLAHE)是另一种方法。然而,两种方法都显示出大型背景的图像的非天然结果。为了改善该缺点,一种新的方法,称为对比度有限的自适应直方图均衡与可变增强度(CLAHEWVVED)进行了介绍,其具有与具有针对嵌入式平台的可变增强度(HEWVED)技术的直方图均衡相比提供更好的结果。 Clahewved和Hewved的增强程度由一个参数控制。该工作是在覆盆子PI开发委员会开发的。该过程的结果在没有任何用户干预的情况下完全自动化。

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