Skripsi

DETEKSI API PADA VIDEO MENGGUNAKAN METODE BACKGROUND SUBTRACTION DAN SEGMENTASI WARNA PADA RUANG HSV

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Penilaian

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Fire is one of the natural disasters that cause loss of property. objects and endanger the safety of life. The fire started from a small fire that got bigger, causing the fire to spread. This research tries to build a model to detect fire in video using an image processing approach with the method of background subtraction and color segmentation in the HSV space. The model is then tested with the composition of the error detection accuracy and the detection success accuracy of each work result. The results of the error detection research on fire detection using the proposed method with an error rate of 18.75% for each test carried out from 12 samples of the fire video dataset. In Video1 the results obtained were 80% accuracy, In Video2 the results obtained were 100% accuracy, In video3, the results obtained are 75% accuracy. on video4 the accuracy is 66.67%, on video5 an accuracy is obtained of 57.14%. on video6 the accuracy is 100%, on video7 there is an accuracy of 100%, for video 80%, the video9 obtained a detection accuracy of 80%. In video10, an accuracy of 100% is obtained. In video11, the detection accuracy is 80% and in video12, it is obtained an accuracy of 100%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000908	T39926	T399262020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T399262020

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2020

Collation

xi, 73 hlm.; ilus., tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem komputer
Ilmu Komputer
Metode Background Substraction

Specific Detail Info

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Statement of Responsibility

EM

Other version/related

File Attachment

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