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Scale-invariant feature results

Sift results on image of rice

Rice SIFT
The curves are well detected but horizontal and vertical lines are lost.

Sift results on bibo bear

A dog sitting on a bed
The words BIBO can be seen on the bear's chest.

Sift results on president leebron

A dog sitting on a bed
It is evident that it is the image of a person.

Although SIFT is extremely useful, it cannot easily find vertical or horizontal lines because they are not considered feature points. Since our image templates were made up of almost all straight lines, we had a significant issue. Due to time constraints we chose to implement the edge functions in MatLab. Instead of passing the results of SIFT into the Hough Transform and Moment of Inertia we passed the results of the edge functions in MatLab.

Results of matlab functions

Results of passing a test image into matlab edge functions

A dog sitting on a bed

Clearly the edge results from matlab are much more suited to our type of test images.

Hough transform results

A dog sitting on a bed
The Hough Transform of the template image.

A dog sitting on a bed

A dog sitting on a bed

Even with noise same peaks are found.

A dog sitting on a bed

A dog sitting on a bed
Same peaks are found with noise.

A dog sitting on a bed

A dog sitting on a bed

With this amount of noise the peaks are still found. As long as the noise does not interfere with the edges the peaks will always be found. However, if the edges are lost then the Hough Peaks will be incorrect.

Moment of inertia results

Description of steps in demo

  1. Read in the image as a matrix of type ‘double’ and turn it into a logical array (im2bw function)
  2. Using bwboundaries functions, find all connected boundaries (default is 4-connectedness of pixel)
  3. Iterate through all closed boundaries and mask all pixels within boundary to be 1 and 0 outside the boundary
  4. Find the moment of inertia of the masked images which is normalized by the square total number of pixels

A dog sitting on a bed

Moment of inertia method on simple image

A dog sitting on a bed

Moment of Inertia Method works perfectly on a test image without overlaps where the shapes are significantly different.

However, bwboundaries returns closed boundaries which would create problems when you have intersection of lines.

Moment of inertia method on image with overlaps

A dog sitting on a bed

We can clearly see from the previous images that the function now detects 4 objects instead of the three that we are interested in, shown below as the two larger squares traced out by red outline and the smaller one filled by the color green.

A dog sitting on a bed

Moment of inertia method on image with similar shapes

A dog sitting on a bed

In the above image, objects in the top right and top left corners of the subplots differ in moment of inertia by 0.703%, in spite of having drastically different shapes. However, we note that such algorithm would only produce false positive.

Questions & Answers

Do somebody tell me a best nano engineering book for beginners?
s. Reply
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Devang Reply
are you nano engineer ?
s.
what is the Synthesis, properties,and applications of carbon nano chemistry
Abhijith Reply
so some one know about replacing silicon atom with phosphorous in semiconductors device?
s. Reply
Yeah, it is a pain to say the least. You basically have to heat the substarte up to around 1000 degrees celcius then pass phosphene gas over top of it, which is explosive and toxic by the way, under very low pressure.
Harper
how to fabricate graphene ink ?
SUYASH Reply
for screen printed electrodes ?
SUYASH
What is lattice structure?
s. Reply
of graphene you mean?
Ebrahim
or in general
Ebrahim
in general
s.
Graphene has a hexagonal structure
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what's the easiest and fastest way to the synthesize AgNP?
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Cied
types of nano material
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I start with an easy one. carbon nanotubes woven into a long filament like a string
Porter
many many of nanotubes
Porter
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Yasmin
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I'm interested in nanotube
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what is nanomaterials​ and their applications of sensors.
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what is nano technology
Sravani Reply
what is system testing?
AMJAD
preparation of nanomaterial
Victor Reply
Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
Himanshu Reply
good afternoon madam
AMJAD
what is system testing
AMJAD
what is the application of nanotechnology?
Stotaw
In this morden time nanotechnology used in many field . 1-Electronics-manufacturad IC ,RAM,MRAM,solar panel etc 2-Helth and Medical-Nanomedicine,Drug Dilivery for cancer treatment etc 3- Atomobile -MEMS, Coating on car etc. and may other field for details you can check at Google
Azam
anybody can imagine what will be happen after 100 years from now in nano tech world
Prasenjit
after 100 year this will be not nanotechnology maybe this technology name will be change . maybe aftet 100 year . we work on electron lable practically about its properties and behaviour by the different instruments
Azam
name doesn't matter , whatever it will be change... I'm taking about effect on circumstances of the microscopic world
Prasenjit
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Damian
silver nanoparticles could handle the job?
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not now but maybe in future only AgNP maybe any other nanomaterials
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Hello
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I'm interested in Nanotube
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this technology will not going on for the long time , so I'm thinking about femtotechnology 10^-15
Prasenjit
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Prasenjit Reply
At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
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how did you get the value of 2000N.What calculations are needed to arrive at it
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Source:  OpenStax, A comparison of object recognition using the hough transform and the properties of moment of inertia. OpenStax CNX. Dec 16, 2014 Download for free at http://legacy.cnx.org/content/col11727/1.4
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