Binarisasi Citra Menggunakan Pencocokan PikselTeady Matius
The binarization to separate between object from background of image is necessary. The problem is background of image has variations of color. Its needs process to differentiate object with its background that has varity of color. As the pre-processing of computer vision, the segmentation need be done as simple as possibly that not waiste time dan effort to do that process. Every pixel at the image has value that will produce color at the image. To simplify image recognition process, the color must change to the simple format as the binary image format. By this simplify can be gained object of image by reduce the background. Image binarization process do by matching the pixel between image contain background only with the tested image. The matching needed range of value to decide that the pixel contain of background or containt of object. Pixel matching can be use to separate object and background. This process has been implemented at a simple application sample to trigger the record image automatically when there are object at the image.
Binarisasi Citra Menggunakan Pencocokan PikselTeady Matius
The binarization to separate between object from background of image is necessary. The problem is background of image has variations of color. Its needs process to differentiate object with its background that has varity of color. As the pre-processing of computer vision, the segmentation need be done as simple as possibly that not waiste time dan effort to do that process. Every pixel at the image has value that will produce color at the image. To simplify image recognition process, the color must change to the simple format as the binary image format. By this simplify can be gained object of image by reduce the background. Image binarization process do by matching the pixel between image contain background only with the tested image. The matching needed range of value to decide that the pixel contain of background or containt of object. Pixel matching can be use to separate object and background. This process has been implemented at a simple application sample to trigger the record image automatically when there are object at the image.
3. citra digital
komponen citra digital
1. Piksel (Pixel):
Piksel merupakan elemen dasar dalam citra digital. Singkatan dari "picture element," piksel adalah titik terkecil dalam citra yang memiliki nilai
numerik yang mewakili intensitas cahaya atau warna pada lokasi piksel tersebut. Dalam citra berwarna, setiap piksel biasanya direpresentasikan
oleh tiga komponen warna utama seper i merah, hijau, dan biru (RGB).
2. Resolusi (Resolution):
Resolusi mengacu pada jumlah piksel yang ada dalam citra. Resolusi biasanya diukur dalam piksel per unit area, seper i piksel per inci (pixel per
inch, PPI). Resolusi yang lebih tinggi menghasilkan detail yang lebih halus dalam citra, sedangkan resolusi yang lebih rendah menghasilkan citra
yang kurang detail.
3. Kedalaman Bit (Bit Depth):
Kedalaman bit mengacu pada jumlah bit yang digunakan untuk mewakili intensitas cahaya atau warna setiap piksel dalam citra. Kedalaman bit
menentukan jumlah tingkat kecerahan atau warna yang dapat direpresentasikan oleh setiap piksel. Misalnya, citra dengan kedalaman bit 8-bit
dapat merepresentasikan 256 tingkat kecerahan atau warna yang berbeda.
4. Format File:
4. Format file merujuk pada struktur data yang digunakan untuk menyimpan citra digital. Beberapa format file citra digital umum termasuk JPEG
(Joint Photographic Exper s Group), PNG (Por able Network Graphics), BMP (Bitmap), dan TIFF (Tagged Image File Format). Setiap format file
memiliki karakteristik dan kegunaan yang berbeda.
5. Metadata:
Metadata adalah informasi tambahan yang terkait dengan citra digital. Metadata dapat mencakup informasi seper i tanggal dan waktu
pengambilan gambar, informasi kamera, lokasi, dan pengaturan kamera lainnya.