SEGMENTASI CITRA UNTUK DETEKSI OBJEK WARNA PADA APLIKASI PENGAMBILAN BENTUK CITRA RECTANGLE

In order to retrieve an appropriate image, an image processing needed to obtain the desired of image form. Instilling artificial intelegent on a camera, capturing an image with a certain shape can be reducing the load time and facilitates the user in the process of shooting. Image segmentation is the process of retrieval information from seeking a similar image like a color. Color can be used as inputs in the depiction of the desired area (Region Of Interest) through the process of color detection and tracking of color, so it can be shooting in a particular form. Object Tracking is the process of following a moving object and switch positions. Computer Vision is defined as a branch of science that studies how computers can recognized the observed objects. In recognition of the observed object, there is segmentation process using euclidean color filtering, gray scale and blob detection. In the implementation of image segmentation to detect color of the object and to capture the image of the rectangle shape, there is methods of segmentation and center of gravity. Results from the testing of this system is the color object can be detected and traced by the best distance between 40cm-80cm best and with the best light intensity between 22lx-242lx.

Dibuat Oleh: Asep Nana H, M. Ichwan, I Made Santika Putra

Alamat E-mail: asepnana@itenas.ac.id, ichwan@itenas.ac.id, imadesantikaputra@gmail.com

Kata Kunci: Pengolahan Citra, Computer Vision, Deteksi Warna, Segmentasi, Objek Tracking, Capture image, Center of Gravity.

SEGMENTASI CITRA UNTUK DETEKSI OBJEK WARNA PADA APLIKASI PENGAMBILAN BENTUK CITRA RECTANGLE