Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images
Öz
Sharp silhouettes are needed for obtaining 3D body measurements from 2D images. Since the main goal in the authors’ continuing research where a new method with pıxel coordinates is developed to obtain 3D body measurements from 2D images, eliminating the need for human body common in manually and body scanning techniques, and solving the unfit problem aroused with increasing e-shopping of garments, the first step is to receive sharp body silhouettes derived from photographs taken from the front and side. The objective of current manuscript is to present the research done to obtain sharp body silhouettes by, first, developing new image processing programmes named Image Processing 1.0 and Image Processing 2.0, then developing another programme named Python 1.0. The procedures followed in these new developed programmes are obtaining the body silhouettes from the front and side images by converting color image to grayscale, thresholding and binary transformation, indicating the problems encountered by applying different threshold value algorithms, background (noise) removal with Paint 3D programme (background cleaning), running edge detection algorithm (Sobel filter), and attaining the negative image which is finally the sharp silhouette achieved for obtaining 3D body measurements from 2D images.
Anahtar Kelimeler
Kaynakça
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