Karya
Judul/Title Modified Image Segmentation Using Sectional Thresholding for Passport-type Image
Penulis/Author Nilar Thein (1) ; Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (2); Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D (3); Dr. Ir. I Wayan Mustika, S.T., M.Eng. (4)
Tanggal/Date 2017
Kata Kunci/Keyword
Abstrak/Abstract Nowadays, an efficient image segmentation process as a preprocessing step provides important cues for numerous applications in human pose estimation, computer vision, objects recognition, tracking and image analysis. Many of the existing segmentation algorithms have high computational cost because of the segmentation foreground object from the large and complex-background images. But, some objects are situated on single-color background image without this complex background. For this single-color background, simple and fast segmentation algorithm will be suggested. The main focus of this paper is to tackle this problem using a modified sectional thresholding method to speed up the segmentation process. The proposed algorithm is applied to sectional image in segmentation process. Moreover, two threshold values based on user interactive are produced to remove all pixels in the background completely. The algorithm is able to work with any background of passport-type images. The proposed algorithm was tested on twenty-eight passport-type images with different background using in Intel i5 processor (1.80 GHz) with 4 GB RAM and 500 GB hard disk. According to the analysis, the execution time of the modified sectional thresholding method is 1.5 times faster than the traditional one.
Level Internasional
Status
Dokumen Karya
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