Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60
Over the past few years, r esearchers have come up with various algorithms and method in detecti ng human skin colour. These algorithms are often tested and applied on PC. The techniques of detecting skin colour are mostly pixel - based and involving fe...
| Main Author: | |
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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, UNIMAS
2009
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/6529/ http://ir.unimas.my/id/eprint/6529/1/IMPLEMENTATION%20OF%20RGB-HS-CbCr%20SKIN%20COLOUR%20MODEL%20USING%20MOBILE%20PYTHON%20PyS60%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/6529/8/NGUI%20LIN%20HUI.pdf |
| _version_ | 1848835934849597440 |
|---|---|
| author | Ngui,, Lin Hui. |
| author_facet | Ngui,, Lin Hui. |
| author_sort | Ngui,, Lin Hui. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Over the past few years,
r
esearchers have come up with various algorithms
and method in detecti
ng
human skin colour. These algorithms are
often
tested
and
applied
on PC.
The techniques of detecting skin colour are mostly pixel
-
based and
involving few other image processing techniques such as colour segmentation and
morphological operation.
In this project, however,
the concept of colour
filtering
on
dif
ferent colour spaces
along with pixel looping and setting
on the image
are
used
and applied on
a Symbian OS
mobile phone
. This project emphasize the
implementation o
f RGB
-
H
-
CbCr Skin Colour Model, which consi
sts of a few
sets of
bounding rules
for separati
ng skin colour and non
-
skin colour region for their pixel
values
at the
RGB, H and CbCr colour subspace.
The programming language used in
this project is Mobile Python or PyS60 and the
written source code is
executed on the
S60 device mobile platform, whic
h
is the Nokia N95 in this case.
Experimental
results are obtained through test
s conducted
and
after several analyses;
it is found out
that RGB
-
H
-
CbCr presents the best algorithm to be used in e
xtracting the human
skin colour, after a slight modification. |
| first_indexed | 2025-11-15T06:15:46Z |
| format | Final Year Project Report / IMRAD |
| id | unimas-6529 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T06:15:46Z |
| publishDate | 2009 |
| publisher | Universiti Malaysia Sarawak, UNIMAS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-65292024-01-23T01:29:42Z http://ir.unimas.my/id/eprint/6529/ Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 Ngui,, Lin Hui. T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Over the past few years, r esearchers have come up with various algorithms and method in detecti ng human skin colour. These algorithms are often tested and applied on PC. The techniques of detecting skin colour are mostly pixel - based and involving few other image processing techniques such as colour segmentation and morphological operation. In this project, however, the concept of colour filtering on dif ferent colour spaces along with pixel looping and setting on the image are used and applied on a Symbian OS mobile phone . This project emphasize the implementation o f RGB - H - CbCr Skin Colour Model, which consi sts of a few sets of bounding rules for separati ng skin colour and non - skin colour region for their pixel values at the RGB, H and CbCr colour subspace. The programming language used in this project is Mobile Python or PyS60 and the written source code is executed on the S60 device mobile platform, whic h is the Nokia N95 in this case. Experimental results are obtained through test s conducted and after several analyses; it is found out that RGB - H - CbCr presents the best algorithm to be used in e xtracting the human skin colour, after a slight modification. Universiti Malaysia Sarawak, UNIMAS 2009 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/6529/1/IMPLEMENTATION%20OF%20RGB-HS-CbCr%20SKIN%20COLOUR%20MODEL%20USING%20MOBILE%20PYTHON%20PyS60%2824%20pgs%29.pdf text en http://ir.unimas.my/id/eprint/6529/8/NGUI%20LIN%20HUI.pdf Ngui,, Lin Hui. (2009) Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60. [Final Year Project Report / IMRAD] (Unpublished) |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Ngui,, Lin Hui. Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title | Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title_full | Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title_fullStr | Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title_full_unstemmed | Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title_short | Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 |
| title_sort | implementation of rbg-hs-cbcr skin colour model using mobile python pys60 |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/6529/ http://ir.unimas.my/id/eprint/6529/1/IMPLEMENTATION%20OF%20RGB-HS-CbCr%20SKIN%20COLOUR%20MODEL%20USING%20MOBILE%20PYTHON%20PyS60%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/6529/8/NGUI%20LIN%20HUI.pdf |