scholarly journals Development and Implementation of AUV for Data Acquisition and Image Enhancement

2020 ◽  
Vol 9 (4) ◽  
pp. 2088-2093
Keyword(s):  
Light Intensity ◽  
Edge Detection ◽  
Image Enhancement ◽  
Visual Observation ◽  
Low Light ◽  
Canny Edge Detection ◽  
Underwater Environment ◽  
Web Camera ◽  
Canny Edge

In our proposed work, the developed Acoustic Unmanned Vehicle(AUV) moves in the direction of up/down. In general AUV is mainly used to for visual observation of the underwater environment by using a web camera. The acquired data from the AUV was preprocessed and the same image used for enhancement.. In this project, the image enhancement alogrithms has been implemented and the same has been computed for Canny Edge Detection, Hue, Luma and Saturation. From these computed results, we are able to enhance the quality of images for the conditions like low depth, low light intensity and color contrasting has been achieved using LABVIEW.

scholarly journals PREDIKSI LUAS BANGUN BERBASIS IMAGE PROSESSING ALGORITMA CANNY

2018 ◽  
Vol 8 (2) ◽  
pp. 31-42
Author(s):  
Ahmad Ahsanudin Syafawi
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Area Measurement ◽  
Percentage Error ◽  
Canny Edge Detection ◽  
Object A ◽  
Image Conversion ◽  
Measurement Results ◽  
Web Camera ◽  
Canny Edge

Dalam menentukan luas objek persegi, persegi panjang, dan lingkaran diperlukanlah sebuah penggaris untuk mendapatkan nilai luasannya, agar lebih mudah dan praktis dapat dibantu dengan sebuah web camera dengan cara mengcapture gambar sampel objek yang ingin diketahui luasnya. Image Prosessing adalah suatu proses yang digunakan untuk mengolah citra atau gambar untuk mendapatkan citra yang lebih bagus mengunakan perangkat sistem komputer. Untuk mendapatkan perolehan panjang (X,Y) dari gambar dapat diukur setelah melewati beberapa tahapan di image prosessing yaitu dengan konversi citra dari RGB, HSV dan deteksi tepi canny, lalu terdapatlah nilai luasan dari hasil pengukuran objek. Metode Canny sendiri merupakan deteksi tepi paling baik ketika digunakan untuk mendeteksi tepi objek,  sehingga hasil deteksi tepi tersebut dapat diambil informasi yang berguna dari citra tersebut. Dengan pengukuran luas secara manual dan secara otomatis terdapat presentase error kurang lebih 5%, hasil luas objek tersebut sudah cukup akurat namun terdapat masalah jika dalam pembuatan objek kurang presisi, peletakan objek yang miring/kurang tegap dan pencahayaan yang kurang mengakibatkan kurangnya tingkat akurasi.In determining the area of a square, rectangle, and circle object a ruler is needed to get the area value, so that it can be easier and more practical to be assisted by a web camera by capturing the image of the object sample that you want to know the area. Image Prosessing is a process used to process images or images to get better images using computer system devices. To get the long gain (X, Y) from the image can be measured after passing through several stages in image processing that is by image conversion from RGB, HSV and canny edge detection, then there is an area value from the object measurement results. The Canny method itself is the best edge detection when used to detect the edge of an object, so that the useful information of the edge detection can be retrieved from the image. With the area measurement manually and automatically there is a percentage error of approximately 5%, the object's width results are quite accurate but there is a problem if the object is less precise in making objects, sloping / less robust object laying and less lighting result in a lack of accuracy.

scholarly journals IMPLEMENTASI TEKNOLOGI COMPUTER VISION SEBAGAI PENGENDALI MOBILE ROBOT BERBASIS KAMERA WEB

JOUTICA ◽  
2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Samsul Arifin ◽  
Erwien Tjipta Wijaya
Keyword(s):  
Edge Detection ◽  
Mobile Robot ◽  
Navigation System ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Raspberry Pi ◽  
Canny Edge Detection ◽  
Image Information ◽  
Web Camera ◽  
Canny Edge

In this research will be developed autonomous Mobile Robot navigation system, using vision sensor in the form of web camera. The ability of the robot to find the path, avoiding obstacles in an indoor environment becomes the key to the success of navigation. One of the things that underlies the robot navigation system is the process of image information processing from a web camera. So it takes a method that can process image information from the web camera into image data more easily read by the computer. The method that can be used to solve this problem is Canny Edge Detection. Canny Edge Detection has some of the most optimum edge detection criteria that localize the image well, detect objects well and clear response. With these advantages, the Canny Edge Detection method can produce a more representative image approaching the real object. After the edge detection process is completed then the next step is to identify and identify paths or obstacles that exist. Paths and obstructions that have been identified will be used as models to determine which direction the robot will run. The whole process of computing and control will be done using Raspberry pi, while for image processing using OpenCV application.

scholarly journals PREDIKSI LUAS BANGUN BERBASIS IMAGE PROSESSING ALGORITMA CANNY

2018 ◽  
Vol 8 (2) ◽  
pp. 31-42
Author(s):  
Ahmad Ahsanudin Syafawi
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Area Measurement ◽  
Percentage Error ◽  
Canny Edge Detection ◽  
Object A ◽  
Image Conversion ◽  
Measurement Results ◽  
Web Camera ◽  
Canny Edge

Dalam menentukan luas objek persegi, persegi panjang, dan lingkaran diperlukanlah sebuah penggaris untuk mendapatkan nilai luasannya, agar lebih mudah dan praktis dapat dibantu dengan sebuah web camera dengan cara mengcapture gambar sampel objek yang ingin diketahui luasnya. Image Prosessing adalah suatu proses yang digunakan untuk mengolah citra atau gambar untuk mendapatkan citra yang lebih bagus mengunakan perangkat sistem komputer. Untuk mendapatkan perolehan panjang (X,Y) dari gambar dapat diukur setelah melewati beberapa tahapan di image prosessing yaitu dengan konversi citra dari RGB, HSV dan deteksi tepi canny, lalu terdapatlah nilai luasan dari hasil pengukuran objek. Metode Canny sendiri merupakan deteksi tepi paling baik ketika digunakan untuk mendeteksi tepi objek,  sehingga hasil deteksi tepi tersebut dapat diambil informasi yang berguna dari citra tersebut. Dengan pengukuran luas secara manual dan secara otomatis terdapat presentase error kurang lebih 5%, hasil luas objek tersebut sudah cukup akurat namun terdapat masalah jika dalam pembuatan objek kurang presisi, peletakan objek yang miring/kurang tegap dan pencahayaan yang kurang mengakibatkan kurangnya tingkat akurasi.In determining the area of a square, rectangle, and circle object a ruler is needed to get the area value, so that it can be easier and more practical to be assisted by a web camera by capturing the image of the object sample that you want to know the area. Image Prosessing is a process used to process images or images to get better images using computer system devices. To get the long gain (X, Y) from the image can be measured after passing through several stages in image processing that is by image conversion from RGB, HSV and canny edge detection, then there is an area value from the object measurement results. The Canny method itself is the best edge detection when used to detect the edge of an object, so that the useful information of the edge detection can be retrieved from the image. With the area measurement manually and automatically there is a percentage error of approximately 5%, the object's width results are quite accurate but there is a problem if the object is less precise in making objects, sloping / less robust object laying and less lighting result in a lack of accuracy.

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