Aplikasi Simulasi Deteksi Lokasi Parkir Kosong Menggunakan  Ektraksi Ciri Objek

Rahman, Sayuti; Dafitri, Haida

doi:10.30743/infotekjar.v4i1.1327

Cited by 4 publications

(3 citation statements)

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“…Manusia lebih cepat memahami dengan melihat citra dibanding harus membaca teks. Banyak peneliti berfokus dalam mengambil informasi pada citra seperti untuk aplikasi smart city [1]- [3], memperbaiki kualitas citra [4], klasifikasi citra [5], aplikasi editing citra, dan berbagai kebutuhan lainnya. Salah satu fitur dalam aplikasi editing adalah chroma key yang berfungsi mengubah warna dengan cepat, seperti pada warna pakaian.…”

Section: Pendahuluanunclassified

Chroma Key untuk Mengubah Warna Pakaian dengan HSV dan Morfologi pada Citra Digital

Rahman¹,

Anggriawan²,

Siregar³

et al. 2022

Jur. Ris. Kom.

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Currently, Indonesia is still under the influence of the COVID-19 virus. Indonesian people buy necessities of life on the online market. Clothing is a daily necessity that people often buy online. This has an impact on increasing online clothing sales, but not all clothes are according to the tastes of buyers. Therefore we need an application that is used to speed up changing the color of clothes according to the needs of buyers. The chroma key application that is used to change the color of the clothing image uses the HSV and morphology classification methods. Edge detection and median filters are used to improve the quality of color shift results with HSV. This application is built using MatLab 2015a programming. The test results show that the HSV classification method is better at changing the color of the clothing image than the morphological method. The HSV classification method was successful in changing the color of clothes well with a 100% success rate. While the morphological method succeeded in changing the color of the clothes with a success rate of 60%.

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Section: Pendahuluanunclassified

Chroma Key untuk Mengubah Warna Pakaian dengan HSV dan Morfologi pada Citra Digital

Rahman¹,

Anggriawan²,

Siregar³

et al. 2022

Jur. Ris. Kom.

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“…dalam sistem deteksi lingkaran, mula-mula sebuah citra diambil umumnya menggunakan kamera atau scanner. Citra ini diproses menggunakan berbagai teknik atau metode pemrosesan citra seperti segmentasi [2][3], deteksi tepi [4], dan berbagai fitur ekstraksi ciri citra [5][6][7].…”

Section: Pendahuluanunclassified

Metode Pusat dan Circular Hough Transformation untuk Mendeteksi Lingkaran pada Sebuah Citra

Bahri¹

2020

Digitalzone

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Tulisan ini membahas tentang penerapan metode pusat dan Circular Hough Transformation(CHT) untuk mendeteksi semua lingkaran yang terkandung dalam citra baik lingkaran tunggal maupun lingkaran yang tumpang tindih. Metode pusat dan CHT memainkan peran penting dalam mendeteksi lingkaran yang terkandung dalam citra melalui array akumulator dua dimensi A(a, b) yang memiliki memori berurutan dengan titik pusat dari lingkaran yang tumpang tindih sehingga dapat dihitung untuk setiap titik pada kurva menggunakan nilai parameter jari-jari yang dipilih untuk mendapatkan nilai triplet (a, b, r) pada Circular Hough Transformation (CHT). Metode pusat merupakan alternatif lain untuk mendetekasi lingkaran dalam sebuah citra, melalui pre-processing seperti, input citra, deteksi objek, ambang batas tepi, skala abu-abu. Kemudian digunakan metode pusat untuk CHT. Akhirnya adalah mengimplementasikan metode pusat dan Cricular Hough Transformation menggunakan Matlab R2020b. Dengan sisitem yang dibangun dapat dideteksi seluruh lingkaran yang terdapat pada citra dengan akurasi 100% dengan memberikan intensitas cahaya 0.93 dan ambang batas 0.33 dan polarisasi objek gelap dan terang serta rentang jari-jaroi antara 16px dan 110px. Tentunya ini tidak berlaku untuk citra yang memuat lingkaran dengan jari-jari yang lebih dari 110px atau kurang dari 16px. Kata kunci: Metode Pusat, Lingkaran, Jari-Jari, Citra, CHT Abstract This paper discusses the application of the center method and Circular Hough Transformation (CHT) to detect all circles contained in an image, both single circles and overlapping circles. The center and CHT methods play an important role in detecting the circle contained in the image via a two-dimensional accumulator array A (a, b) which has sequential memory with the center points of the overlapping circles so that it can be calculated for each point on the curve using parameter values. the radius selected to obtain the triplet values (a, b, r) of the Circular Hough Transformation (CHT). The center method is another alternative for detecting circles in an image, through pre-processing such as image input, object detection, edge threshold, grayscale. Then the central method for CHT was used. Finally is to implement the central method and the Cricular Hough Transformation using the Matlab R2020b. With the built system it can be detected all the circles in the image with 100% accuracy by providing a light intensity of 0.93 and a threshold of 0.33 and polarization of dark and light objects and a radius range between 16px and 110px. Of course this does not apply to images that contain circles with radii greater than 110px or less than 16px. Keywords: Center Method, Circle, Radii, Image, CHT.

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“…Then it is completed by payment via the GoPay e-wallet from the Gojek application. A successful payment will provide a booking code used to enter and exit the parking location using a QR-Code [8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Android-Based Parking Management Applications

Pramono

Shodikin

2022

Inf. J. Ilm. Bid. Teknol. Inf. dan Komun.

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Parking problems are one of the problems faced in every city, especially in big cities. The availability of limited parking spaces and the unavailability of a parking system that can support the ease of parking management are essential things that must be found as the best solution. The parking application developed can provide information easily. In addition, parking users also get convenience in placing orders, extending time, or canceling. The parking system can provide comfort for parking management to manage parking areas with an efficient system, not only in terms of information but also in terms of payment, by utilizing digital payment methods. The parking application developed based on Android is an alternative that provides user-friendly solutions and parking management. The application has worked well based on trials with various scenarios, both normal scenarios (without cancellation or without extension) and testing with abnormal conditions. From the usability test of 40 respondents with ten questions from the SUS method, an average score of 76 was obtained.

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Aplikasi Simulasi Deteksi Lokasi Parkir Kosong Menggunakan Ektraksi Ciri Objek

Cited by 4 publications

References 0 publications

Chroma Key untuk Mengubah Warna Pakaian dengan HSV dan Morfologi pada Citra Digital

Chroma Key untuk Mengubah Warna Pakaian dengan HSV dan Morfologi pada Citra Digital

Metode Pusat dan Circular Hough Transformation untuk Mendeteksi Lingkaran pada Sebuah Citra

Implementation of Android-Based Parking Management Applications

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