image mosaicing by ahlam ansari
TRANSCRIPT
Presented by Ahlam Ansari
Digital Image Processing
IMAGE MOSAICING
Overview
Image Mosaicing
Methods of Image
MosaicingImage
Stitching
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IMAGE MOSAICING
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Mosaicing is blendingtogether of severalarbitrarily shapedimages to form onelarge balanced image sothat the boundariesbetween the originalimages are not seen.
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Mosaicing is one ofthe techniques ofImage processingwhich is useful fortiling digital images.
Application
1. The most common mosaicing applications include constructing high resolution images that cover an unlimited field of view using inexpensive equipment, creating immersive environments for effective information exchange through the internet.
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2. Creation of completely navigational ``virtualized'' environments by creating arbitrary views from a limited number of nodes, i.e. the reconstruction of 3D scene structure from multiple nodes.
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3D Image
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3. Satellite Image Formation
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4. Video Mosaicing
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Block Diagram of Image Mosaicing
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i/p image2
i/p image1Image
enhancement
Corner detection
Triangle Detection
Mosaicing (Translation)
Image Registration
Correct Geometric Deformation
Mosaic image
METHOD OF IMAGE MOSAICING
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•Corner Detection
•Triangle Formation
•Congruent Method
Corner Detection
Interest Point / Corner Detection
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Triangle Formation
• The triangle-to-triangle intersection test
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Congruent Method
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IMAGE STITCHING
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Org
anize
with
Sec
tions
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Translation
• Corner detection algorithm highlights points of interest
• Triangle formation algorithm forms triangles out of the points
• Compare triangles for congruency and alignment, if matched, then difference in position is translation
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Rotation
• Uses corner detection and triangle formation to check congruency of images
• Compare triangles for congruency and alignment. If matched, then difference between its angular position is rotation
• One image is rotated w.r.t the other and angle of rotation is displayed
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Scaling
• Corner detection and triangle formation used similar to Translation to check similarity of images
• Ratio of triangles are calculated to find scaling ratio for images
• One image is resized w.r.t. second using scaling ratio
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Mosaicing
• Checks for similar points in both images for blending
• Blends the image to form a virtual complete image
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[1] Takeaki Iiyoshi, “Homography-based Image Mosaicing for Automatically Removing Partial Foreground Objects”, ©2010 IEEE
[2] Nad`ege Rebi`ere ,“Image Mosaicing using Local Optical Flow Registration”, ©2011 IEEE
[3] Satya Prakash Mallick,Feature Based Image Mosaicing
REFERENCE
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? Any Question…
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For your Attendance and Attention
THANK YOU
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