As automated system is an efficient one which decreases the malfunctions and error, industries having more demand to adopt such systems day by day. To enhance this capability, image processing-based system has a major...
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ISBN:
(纸本)9788132220084
As automated system is an efficient one which decreases the malfunctions and error, industries having more demand to adopt such systems day by day. To enhance this capability, image processing-based system has a major role. But to design an embedded system with the facilities, it is difficult and challengeable task. Another issue for the use interfacing of such systems should be simple so that the system can be user friendly. To develop this system with various facilities, this piece of work has been attempted. Hence in this paper, authors showcase the attempt to realize the algorithms based on image processing for different applications. The work is developed in Raspberry pi development board with python 2.7.3 and OpenCV 2.3.1 platform. The result shows for the fully automated without any user intervention. The prime focus is on python image library (PIL) in addition to numpy, scipy, and matplotlib form a powerful platform for scientific computing.
Raspberry Pi is employed as a basic embedded system and being a low cost single-board computer, it has emerged to be immensely popular in recent times. This paper mainly deals with natural color of an image including ...
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ISBN:
(纸本)9781479933587
Raspberry Pi is employed as a basic embedded system and being a low cost single-board computer, it has emerged to be immensely popular in recent times. This paper mainly deals with natural color of an image including human faces in HSI color space. In this kind of image, it is necessary to describe skin color accurately hence we go on to restore the image based on this criterion. Histogram equalization (HE) is a popular technique for contrast enhancement of images. In order to vary the enhancement degree to get proper skin color, HE with variable enhancement degree (HE-VED) is introduced. The enhancement degree of HE-VED is controlled by intensity and saturation parameter alpha and beta respectively. Dark and low contrast images were captured using the Raspberry Pi camera module and HE-VED was applied to enhance the objective image in a particular enhancement degree automatically with help of Raspberry Pi. Lastly HE-VED was extended to a complete image and appreciable results were obtained which could be further enhanced using different pseudo coloring techniques.
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