Abstract
This study proposes an approach to enhance image quality of power meter (KWH meter) using a color space transformation. Power meter is used to measure the power consumption of the customer. The amount of usage can be seen by looking at the character of numbers as indicators of measurement. Billing can be done automatically using character recognizer on imaging device by applying digital image processing techniques. Acquired image of the power meter may have poor quality because data acquisition process is very sensitive to light and noise. Appliance power meter is covered with glass that can reflect light, so that the quality of the acquired image varies depends on the lighting conditions at the time of acquisition. Color space transformation widen the color contrast of KWH meter image. The performance of the proposed approach is evaluated using a data set of KWH meter images of Smart Meter Indonesia models contains 30 RGB color model images. Before performs the proposed method, segmentation effectivesess is 93%. The experimental results shows an improvement of image quality that affect the character segmentation results up to 97%. Color space transformation is proven effective for the improvement of image quality and segmentation of KWH meter.
Highlights
Nowadays electricity has become a necessity of life where the use of electronic equipment has become the daily life of human beings
This study proposes an approach to enhance image quality of power meter using color space transformation from RGB to HSV model
The purpose of this study is to segment the characters in area that contain numerical characters on KWH meter image represents power consumption which has to be paid by consumer
Summary
Nowadays electricity has become a necessity of life where the use of electronic equipment has become the daily life of human beings. The traditional electric meter is an electronic mechanical device [1], which shows the amount of electricity consumed notice and recorded by the officer This way can lead to errors in measurements with respect to human negligence and may less efficient in time for processing where the data need to be transfer manually. At the end of the month, the officers will read the KWH meter manually which can lead to negligence in reading and recording as well as delays in data transmission to PLN server for processing the bill This condition provides shortcomings for PLN and consumers or end users such as deficiency or over payment [3]. The image of KWH meter needs to be enhanced in order to improve the results of character segmentation process. This paper is divided into 4 sections, introduction, methodology, result and discussion, and the conclusion at the end of this paper
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