PERANCANGAN SISTEM PENGOLAHAN CITRA DIGITAL UNTUK MENENTUKAN BOBOT SAPI MENGGUNAKAN METODE CANNY EDGE DETECTION

AHMAD MUSTAFID, NIM. 12650021 (2016) PERANCANGAN SISTEM PENGOLAHAN CITRA DIGITAL UNTUK MENENTUKAN BOBOT SAPI MENGGUNAKAN METODE CANNY EDGE DETECTION. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Cow cattle has a high economic value and its important in the life of society. Generally, determining the price of cow agreed by negotiation between the seller and the buyer, not based on the weight of cow is sold. In the fact, it seemed that there has no tool to calculate the weight of cow in practical and accurate, therefore they still use the calculation manually and approximately for finding the weight of cow. In other that this research tries to create a digital image processing system using android device for determining the weight of a cow in practical and accurate using Canny edge detection method. The first way, the researcher is looking for the most accurate formula to determine the weight of cow, and then making the system design process. After the design has been made, we perform the processing with the help of OpenCV to determine where the best edge detection is. In next step is performing unit conversion and proposing some algorithms to find the body length and chest girth, therefore can be calculated the weight of cow in the image. The result of analysis determining the weight of cow using Schoorl and Modification formula has the error/deviation values of weight of 16.87 % for Schoorl formula and 10.58 % for Modification formula. The result of analysis preprocessing showed that scenario 3 (Median blur and canny) get the best result. The calculation result, image does not have difference significantly, it has the accuracy factor statistically with error of 8.15 % for the body length and 4.10% for chest girth. Digital image processing application that was built can determine the weight of cow or the heavy cow with the value relative deviation (error) of 8.97 % toward Modification formula.

Item Type: Thesis (Skripsi)
Additional Information / Pembimbing: Dr. Shofwatul 'Uyun, S.T., M.Kom.
Uncontrolled Keywords: Edge Detection, Canny, Median Blur, OpenCV, Android, Cow, Weight Of Cow, Digital Image Processing
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User / Editor: Miftahul Ulum [IT Staff] ---- youtube : ulum virgo -------- Facebook : digilibuin
Date Deposited: 03 Aug 2016 04:47
Last Modified: 03 Aug 2016 04:47
URI: http://digilib.uin-suka.ac.id/id/eprint/21305

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