I always prefer to write Article in simple and easy way to
understand the fast
growing concept in the globe. In the concept of these, I wrote
many of concept
of AI related before. You can read all of them from my blog (POPULAR POST)
option. As far as concern about the Computer vision it also the part of AI,
and a lot of research is going on this. In this Article we are going to understand
about in very easy and simple way.
option. As far as concern about the Computer vision it also the part of AI,
and a lot of research is going on this. In this Article we are going to understand
about in very easy and simple way.
I also insist you to attempt the quiz which is present in the last of Article.
First word
Computer Vision derived from Artificial intelligence and
Computer science, this concept giving the virtual concept of the world in the
form of images understanding! Would that Computer can see and observe, it is
the dream of past where our desire to do our computer work as like human after
seeing the object. But in this modern world it’s become true in the form of
Computer Vision.
So, what is
Computer Vision?
How does it
work?
From these
and related question arise in our mind.
In this Article we are going to understand the concept of
Computer Vision from basic introduction
Let’s assume I give you an image in which different living
and nonliving things are present, as human we can easily identify the human and
animal also others nonliving thing like floor, wall, frame and others which is represent
in the background of the image. Also we
can write a complete novel on it after observing the image from depth.
The Concept of understanding the image and identify the
character on it, is called Computer Vision. Actually it the concept of seeing the computer
as like human, using this concept we are trying to make computer intelligent as
like human to identify the character from images.
How does it work!
Using three basic component computer vision does it work with
digital images.
Image acquisition
Image processing
Image analysis and understanding
Image analysis and understanding
The flow diagram of these process:
Let’s understand these three individually.
Image acquisition
Image acquisition is the
process of translating the analog world around us into binary data composed of
zeros and ones, interpreted as digital images.
In the process of image
acquisition we convert the analog image into binary data which composed it into
0’s and 1’s, like digital images.
For this process different
tools have been used
Like webcam, digital camera,
modern DSLR, 3D cameras, laser related camers.
Image processing
In the
part of image processing, image is changed into geometrical element to build
and show the basic structure of the images or object using low level processing.
For basic understand if you used the PHOTOSHOP you did this work many time using
different option on it. We used this effect on our images but we don’t know about
them. Actually these happened on it
using advance mathematical algorithm and the images processing effect.
Few of these techniques are:
1. Edge
detection
2. Segmentation
3. Classification
4. Feature detection and matching
2. Segmentation
3. Classification
4. Feature detection and matching
Edge detection |
Segmentation |
Classification |
Feature detection and matching |
Image analysis and understanding
Computer
vision last step is identify the object from data, where machine finally take
the decision in term of output using advance algorithm. The step complete their
work using previous steps (image date, and low level information).
High-level image analysis are:
1. 3D scene mapping
2. Object recognition
3. Object tracking
1. 3D scene mapping
2. Object recognition
3. Object tracking
3D scene mapping |
Object recognition |
Object tracking |
Applications
of computer vision
In the
field of computer science, AI, robotics, human-computer interaction and images visualization
different application are doing their work, few of are:
Horizon with Computer Vision
Diseases identification using Computer vision
Image restoration such as denoising
Computer
Vision on the Horizon
Motion
recognition
Computer Vision in Industrial Preventative Maintenance
Augmented reality
Autonomous cars
Well Come to Quiz
WellCome to Quiz :)
Comptuer vision means?
Computer see as like human
Computer behave as like human
Computer work as like human
Computer see as like human
Computer behave as like human
Computer work as like human
Computer vision is derived from AI
False
True
None of them
False
True
None of them
How many component are using in Comptuer vision?
1
3
5
1
3
5
In which component analog world convert into digital images?
Image acquisition with pixel
Image acquisition
Image processing
Image acquisition with pixel
Image acquisition
Image processing
Original image convert into geometical shape using?
Image processing
Image acquisition
Image acquisition with pixel
Image processing
Image acquisition
Image acquisition with pixel
Identification of images using?
Image analysis and understanding
Image analysis
Image acquisition with pixel
Image analysis and understanding
Image analysis
Image acquisition with pixel
In which software we can use different option which is related to computer vision?
Combo
Virtual effect
Photoshop
Combo
Virtual effect
Photoshop
which is not the example of computer vision application?
Autonomous cars
Robotic
Motion recognition
Autonomous cars
Robotic
Motion recognition
which is the example of computer vision application?
Machine learning
Deep learing
Autonomous cars
Machine learning
Deep learing
Autonomous cars
Classification is used to identify the character from image?
True
False
None of them
True
False
None of them
Result....
Thanks for the intuitive information. I have further inquiries regarding FPGrowth algorithm. How can I contact you sir?
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