期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2019
卷号：17
期号：2
页码：937-945
DOI：10.12928/telkomnika.v17i2.11751
出版社：Universitas Ahmad Dahlan
摘要：The color image segmentation is one of most crucial application in image processing. It can
apply to medical image segmentation for a brain tumor and skin cancer detection or color object detection
on CCTV traffic video image segmentation and also for face recognition, fingerprint recognition etc. The
color image segmentation has faced the problem of multidimensionality. The color image is considered in
five-dimensional problems, three dimensions in color (RGB) and two dimensions in geometry (luminosity
layer and chromaticity layer). In this paper the, L*a*b color space conversion has been used to reduce the
one dimensional and geometrically it converts in the array hence the further one dimension has been
reduced. The a*b space is clustered using genetic algorithm process, which minimizes the overall distance
of the cluster, which is randomly placed at the start of the segmentation process. The segmentation results
of this method give clear segments based on the different color and it can be applied to any application.
其他摘要：Nowadays, the human need for electrical energy is getting higher. Due to the declining supply fuel, many efforts have been studied to find renewable energy. One of the studies is building a power generator system that comes from daily human activities. This paper proposes a human footstep power generator using ultrasonic sensor HC-SR04. Only by doing a simply walking on the ground floor, electrical energy can trigger. An HC-SR04 sensor measuring the spring distances from the footstep and activates the motor drive relay and generator that converts mechanical energy into electrical energy and stored in a battery. The test results state that the deeper of a footing step on the floor surface, the greater distance produced and the higher voltage can be generated. The footstep can trigger 7.5 V-8.8 V. Full battery condition can be used to turn on two pieces of 2-watt LED lamps for approximately 5 hours.
