Download - OpenCV Image Processing
Image Processing UsingOPenCV (Open Computer Vision Library)Henry Ruiz
AgendaComputer Vision
Artificial Vision Systems (AVS)
Areas of knowledge embedded
Components of a AVS
Digital Representation of Images
OpenCV (Image Analysis Technology )
What do you need to know…?
How does an Artificial Vision System work?
Operations between Images
Applications and demos
Computer VisionComputer vision is a field that includes methods for acquiring, processing, analyzing, and
understanding images and, in general, high-dimensional data from the real world in order to produce
numerical or symbolic information, e.g., in the forms of decisions.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that
extract information from images. The image data can take many forms, such as video sequences, views
from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline,
computer vision seeks to apply its theories and models to the construction of computer vision systems.
Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object
recognition, learning, indexing, motion estimation, and image restoration.
Artificial Vision Systems (AVS)
System that have like objective:
The detection, segmentation, localization and recognition of objects or things inside the images ( for example human faces, patterns, shapes or features).
improvement and restoration of images.
Image Analysis and interpretation of images.
Tracking of objects inside a sequence of processed images (video).
Areas of knowledge embedded
Components of a AVSIm
age
Acq
uis
itio
nSy
stem
Ligh
t so
urc
e
Sto
rage
Sys
tem
Pro
cess
ing
syst
em
Co
mm
un
icat
ion
syst
em
Filin
gsy
stem
Work Flow AVS
Knowledge Base
segmentationRepresentation
and Description
Pre-processing
Image
Acquisition
Recognition
and
interpretation
ResultsProficiency
issue
A digital image is a matrix or two-dimensional array of numbers.
Each cell in the matrix represents a pixel.Sample: Image of 20x15.
Un píxel
90 67 68 75 78 98 185 180 153 139 132 106 70 80 81 69 69 67 35 34
92 87 73 78 82 132 180 152 134 120 102 106 95 75 72 63 75 42 19 29
63 102 89 76 98 163 166 164 175 159 120 103 132 96 68 42 49 46 17 22
45 83 109 80 130 158 166 174 158 134 105 71 82 121 80 51 12 50 31 17
39 69 92 115 154 122 144 173 155 105 98 86 82 106 83 76 17 29 41 19
34 80 73 132 144 110 142 181 173 122 100 88 141 142 111 87 33 18 46 36
37 93 88 136 171 164 137 171 190 149 110 137 168 161 132 96 56 23 48 49
66 117 106 147 188 202 198 187 187 159 124 151 167 158 138 105 80 55 59 54
127 136 107 144 188 197 188 184 192 172 124 151 138 108 116 114 84 46 67 54
143 134 99 143 188 172 129 127 179 167 106 118 111 54 70 95 90 46 69 52
141 137 96 146 167 123 91 90 151 156 121 93 78 82 97 91 87 45 66 39
139 137 80 131 162 145 131 129 154 161 158 149 134 122 115 99 84 35 52 30
137 133 56 104 165 167 174 181 175 169 165 162 158 142 124 103 67 19 31 23
135 132 65 86 173 186 200 198 181 171 162 153 145 135 121 104 53 14 15 33
132 132 88 50 149 182 189 191 186 178 166 157 148 131 106 78 28 10 15 44
Digital Representation of Images
A more common way to display an image ...
píxel
Digital Representation of Images
Another possible way to visualize / interpret an image is...
as a two
dimensional
surface.As a discrete
sampling of the
continuous
signal.
Digital Representation of Images
OpenCV (Image Analysis Technology )“OpenCV is released under a BSD (Berkeley Software Distribution) licenseand hence it’s free for both academic and commercial use. It has C++, C,Python and Java interfaces and supports Windows, Linux, Mac OS, iOS andAndroid. OpenCV was designed for computational efficiency and with astrong focus on real-time applications. Written in optimized C/C++, thelibrary can take advantage of multi-core processing. Adopted all around theworld, OpenCV has more than 47 thousand people of user community andestimated number of downloads exceeding 6 million. Usage ranges frominteractive art, to mines inspection, stitching maps on the web or throughadvanced robotics.”
OpenCV (Image Analysis Technology )
OpenCV (Image Analysis Technology )
Java - http://goo.gl/FXOQdB
Python - http://goo.gl/UyUzAt
C++ - http://docs.opencv.org/
C - http://docs.opencv.org/
.Net(Emgu CV)- http://www.emgu.com/
Android - http://web.stanford.edu/class/ee368/Android/
IOs
OpenCV (Image Analysis Technology )
What do you need to know…?
Have basic programming skills (programming fundamentals)
Basic knowledge using C++, python or another programming language
You can find a lot of Information over C++,python etc. in internet
Basic skills in Image Processing and Linear Algebra
How does an Artificial Vision System work?
Operations between ImagesQuestion: What is the theoretical basis of image processing? What operations apply?
Reminder: a digital image is nothing more than a matrix or two-dimensional array of numbers!
We can apply the same operations that covers any number: add, subtract, multiply, divide, apply and, or, maximum, minimum, integrals, derivatives ...
90 67 68 75 78
92 87 73 78 82
63 102 89 76 98
45 83 109 80 130
39 69 92 115 154
Wich operation Should I Apply? How Can I determine it?
Using the histogram
Sample 1. La imagen es muy oscura. Falta luz.
0 255127
Frec
uen
cia
• Sample 2. La imagen es muy clara. Sobra brillo.
0 255127Fr
ecu
enci
a
Tipos de operaciones. Histogramas.
Ejemplo 3. La imagen tiene poco contraste.
0 255127
Frec
uen
cia
• Ejemplo 4. Hay mucho contraste, pocos medios tonos.
0 255127Fr
ecu
enci
a
Demos
Rice Platform
Biotechnology
NDVI (Normalized difference vegetation index
CIAT NDVI (Normalized difference vegetation index )
Healthy Plant Dry and chl. reduced plant
REDhealthy= 0.05 REDstressed = 0.4
NIRhealthy = 0.5 NIRstressed = 0.5
Features Extraction- Chalky grains
characterization of diseases
future works
future works
future works
Video (Ted Conference)http://www.ted.com/talks/pranav_mistry_the_thrilling_potential_of_sixthsense_technology
Thanks for listening