PURWARUPA SISTEM PREDIKSI LUAS DAN HASIL PANEN PADI SUATU WILAYAH MENGGUNAKAN PENGOLAHAN CITRA DENGAN METODE SEED REGION GROWING; SYSTEM PROTOTYPE OF SQUARE PREDICTION AND RICE CROPS OF AN AREA BY USING SEED REGION GROWING METHOD OF IMAGE PROCESSING
Utami, Andri N, Sumiharto
2015 | Skripsi | FMIPA UGMSystem prototype of square prediction and rice crops of an area by using seed region growing method of image processing is a system that utilize digital image processing as the square measurement of a rice field area that will be mapped. This system is a beginning process in developing an area or square measurement manual mapping system. In this case, the object used is an area of rice field that is about to crop. The method that will be used in this system is seed region growing method. In this method seed point determination was used as a beginning of algorithms process that will be used. Once a seed has been chosen the next process will be region growing, in which region growing functions to enlarge the seed area chosen so that getting the area mapped based on color range determined. In this system region growing mapping will use 8 kinds of pixel neighbor. Neighbor pixel having similarity with seed point chosen will be enlarged with method used. Field image included in the area mapped will be changed into with image and those that isn’t the area will be changed into black one in the thresholding process. The pixel selected will be labeled with other color. System trial will be done by testing some image of rice field that is about to crop. In taking the data will be got the color of rice that is about to crop in browned yellow with color range of HSV 17.75-31,75, 94.75-255,dan 0-255. The bigger of kernel value is the smaller of square of an area because erosion causes the pixel eroded. Every area has different error because of different large. The smallest error will 0,595% and the biggest one will be 90.613% that is caused by erosion value and lighting of the image.
Kata Kunci : Image processing; seed region growing; rice field large measurement; openCV.