FEBRIANTI, ADINDA (2019) GEOMETRY IDENTIFICATION WITH POINTS RECOGNITION METHOD. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

The geometries that will be analyzed in this research is a geometry that only has a straight line and has no curved lines. The geometries which were analyzed are square, rectangular, triangular and trapezoidal. To identify geometries, the images must be converted from the colored image into a monochrome image then after obtaining a monochrome image, a point searching must be done so the object can be analyzed whether the object is geometry or not. This testing process uses 44 images as testing data. This 44 images consists of 10 square images, 10 rectangular images, 14 triangular images (5 of 14 triangles is rotated), and 10 trapezoidal images (2 of 10 trapezoids is rotated). The result of this program is that most of the images were successfully identified as geometries and the others were not identified as geometries as it should. Keyword: geometries, thinning, edge detection, image processing

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