Abstract
This approach shows the processing of multiple images of a virtually transparent epidermal imagery (VTEI) system for LESS surgical procedure. In this paper, a novel Homographic Image Mosaicking and Morphing (HIMM) procedure is proposed for image-stitching and also for compensating the irregular surfaces, where scale invariant feature detection (SIFT) algorithm for detecting a set of feature points, vector field consensus (VFC) algorithm for mismatch rejection, Gauss Newton algorithm for non – linear minimization and backward image warping algorithms are used to obtain the see-through effect. This view is then noticeable to the surgeon in VTEI for laparoscopic surgeries.
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