PERBANDINGAN METODE ANALISIS CIRI AIR UNTUK PENDETEKSIAN OBJEK PERMUKAAN AIR BERDASARKAN PANTULAN CAHAYA
Abstract: Water is one of the
unique objects in nature. In computer vision applications, object
identification mechanism of water can be done by analyzing the light on the
object, either by analyzing the reflection or absorption of light. In addition,
the approach in the detection of surface water must also consider the adequacy
of the light source and some properties of water associated with the
propagation of light, ie the water surface conditions (calm, wavy), the status
of depth, turbidity, and presence or absence of material that floats on the
water surface such as foam or other materials). The nature of this water will
affect the reflection or absorption of light, which would affect the number of
variations that must be defined for the detection of water. Several research
approaches for detecting the water level that has been done is a color image
classification method with color imagery and analysis of light polarization.
This research is a study of research literature related to the mechanism of
water detection using 2 methods. Discussion is to do the comparison includes
comparing the descriptions of equipment and removal of surface water scenario
based approach to the properties of water. Then, the comparison of image
segmentation is arranged based on the said pattern identification.
Penulis: Surya Hadinata
Kode Jurnal: jptinformatikadd090091