GDL

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

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