CD Skripsi
Analisa Hubungan Kontras Spekel Dan Tingkat Kematangan Buah Sawit Menggunakan Metode Laser Speckle Imaging (LSI)
Grading oil palm-Fresh Fruit Bunches (FFBs) has been an ongoing interesting research topic lately. Some methods such as computer vision and hyperspectral imaging have been suggested and developed for grading the FFBs. In meantime, a laser speckle imaging (LSI) method has also been used to asses many kinds of fruit conditions using speckle patterns of the fruit surfaces when illuminated by a laser light. The purpose of this research was to use LSI method to study the speckle patterns of oil palm fruit-fresh fruits. The system consisted of a 635 nm diode laser as a laser source, and a monochrome CMOS (Complementary Metal Oxide Semiconductor) camera as the imaging detector. The samples were under 10 year old Tenera Variety named Tenera A and B with different fraction conditions. The fruits were taken from the outer layer of FFBs. The conditions were categorized traditionally by an experience harvester. The speckle patterns of the oil palm fruits were obtained after illuminated by the laser light and recorded by the camera, and further analyzed by ImageJ software. The contrast of speckle for all fractions were compared. Each fraction has 9 fruits from three different section of FFB, the results were averaged. The research results showed that the highest gray value and standard deviation was the fruits with f5 fraction, while the highest speckle contrast was the fruits with f0 fraction.
Keywords: Laser Speckle Imaging (LSI), Oil Palm Fruits, Speckle Pattern, Ripeness, ImageJ
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