A super pixel can be defined as a group of pixels, which have similar characteristics, which can be very helpful for image segmentation. It is generally color based segmentation as well as other features like texture, statistics…etc .There are many algorithms available to segment super pixels like Simple Linear Iterative Clustering (SLIC) super pixels and Density-Based Spatial Clustering of Application with Noise (DBSCAN). SLIC algorithm essentially relay on choosing N random or regular seeds points covering the used image for segmentation. In this paper Split and Merge algorithm was used instead to overcome determination the seed point's location and numbers as well as other used parameters. The overall results were better from the SLIC method depending on single threshold, which control the segments number needed (like 0.2) to accomplish the task.
Image Segmentation Using Superpixel Based Split and Merge Method
super pixels
image Segmentation
graph cut
Publication Date
Wed May 25 2022
Journal Name
Iraqi Journal Of Science
Study of Some Plasma Characteristics in Dielectric Barrier Discharge (DBD) System
Dielectric Barrier Discharge (DBD)
Optical Emission Spectroscopy (OES)
Image J Software
Electron Temperature (T_e)
Electron Number Density (n_e)
In this present paper, an experimental study of some plasma characteristics in dielectric barrier discharge (DBD) system using several variables, such as different frequencies and using two different electrodes metals(aluminium (Al) and copper (Cu)), is represented. The discharge plasma was produced by an AC power supply source of 6 and 7 kHz frequencies for the nitrogen gas spectrum and for two different electrodes metals(Al and Cu). Optical emission spectrometer was used to study plasma properties (such as electron temperature ( ), electron number density ( ), Debye length ( ), and plasma frequency ( )). In addition, images were analysed for the plasma emission intensity at atmospheric air pressure.
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