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تعديل التشويه في الصور الرقمية باستخدام خارطة التشويه والمرشحات الضبابية == Correction Of Deformed Digital Images Based On Deformation Map And Fuzzy Filters
Author name:
ايهاب ابراهيم كاظم
Supervisor name:
ظافر رافع زغير | محمد علي توفيق
General topic:
Electrical, Electronic and Communications Engineering
Specific topic:
Electrical and Electronic Engineering
Degree:
Master
University:
Mustansiriyah University - College Of Engineering - Department Of Electrical Engineering
Language:
English
University location:
Baghdad
First pages:
34T521 - p.pdf
Abstract:
During the last decades the development in digital image acquisition, capturing, processing and displaying devices is one of the fastest growing fields. Most of these devices introduce some amount of geometric lens deformation and cause uncorrected dimensions in displaying the objects, such as cameras, scanners, lenses, and mirrors.This work introduces a general algorithm use to correct the images deformed by a fixed and known properties sources. A simple prototype system consists of convex mirror and digital camera has been constructed to capture the required reflected scene. The proposed algorithm considers three main processes; correction, filtering, and edge enhancement. The idea of the proposed correction method is based on selecting an original image, capturing its reflected view from the convex mirror, and then obtaining the deformed ratios for each row and column between the captured image and the original image. These ratios represent the raw components to what referred here as the deformation - map. This map is considered as a general pattern for the proposed prototype system, to be used later in correcting the deformed images.The correction process depends mainly on stretching - padding - cropping. In the first operation, each row and column is stretched to a length depends on the corresponding compression ratio's element in the deformation - map. The second operation modifies the size of the image by adding pad array to the end sides, while the third operation crops the image to the required size.The Filtering, and edge enhancement processes are based on using fuzzy median filter to deblur and smooth the corrected images, while fuzzy edge detection is used to enhance the edges of corrected images.The deformation - map has been examined on correcting several deformed images. The results show high capability of considering this map as a general correction model for the images captured by the proposed system.
