Perancangan Mini Image Editor Versi 1.0 sebagai Aplikasi Penunjang Mata Kuliah Digital Image Processing

Nowadays, there are a lot of graphic design softwares developed in multimedia technology. One which is very famous among them is Adobe Photoshop. Using this application, we can fix or process digital pictures to make them better. As one of the faculties in Computer Technology, Maranatha Faculty of Information Technology gives digital image processing subject to its students so that the students will know the basic processes behind digital image processing applications. A specific application have been built to provide the necessary basic skills for the digital image processing such as gray-scalling, bitmapping, brightness changing, blurring, and image scalling

Perancangan Mini Image Editor Versi 1.0 sebagai Aplikasi Penunjang Mata Kuliah Digital Image Processing

Nowadays, there are a lot of graphic design softwares developed in multimedia technology. One which is very famous among them is Adobe Photoshop. Using this application, we can fix or process digital pictures to make them better. As one of the faculties in Computer Technology, Maranatha Faculty of Information Technology gives digital image processing subject to its students so that the students will know the basic processes behind digital image processing applications. A specific application have been built to provide the necessary basic skills for the digital image processing such as gray-scalling, bitmapping, brightness changing, blurring, and image scalling

Kombinasi Penggunaan Model Warna Dalam Pendeteksian Letak Bibir Pada Gambar Digital Berwarna

Different color model has been used to detect the location of lips within color images. These color models have different advantages and weakness. This paper intends to compare several uses of color model (namely the rgb, normalized rbg, and the YCbCr color model that is used frequently on several lip localization technique) and try to propose a combination of color model to minimize post processing in lip localization. The proposed combination combines the normalized rgb color model, the YcbCr colod model and the intensity based rgb model to obtain lip area. The combination proved to provide better distinction with only slighty more calculation