describe how to sensor image base on skin detection mainly on different skin color

1. Guided by,
Mrs. Alpha Vijayan
Associative. Professor
CSE Departement
Presented by,
Sam.V.Varghese (11010012)
Sudheesh K.S (11010022)
Tibin Thomas (11010016)
Gokul G (11010021)
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2. • Reduce rise of immoral digital visual contents in
broadcasts.
• Motivate the research in fast and reliable obscene and
immoral material filtering.
• Use the power of computer vision for socially
admissible projects.
• Contribute to open source OpenCV library function.
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3. • Manual censoring and grading in tv broadcasts and
films.
• IP address based filtering of internet sites.
• Computer vision based censoring.(limited)
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4. • Difficulty in Skin and Non-skin colour separable.
• Illumination changes over time.
• Skin tones vary dramatically within and across
individuals.
• Different cameras have different output for the
identical image.
• Movement of objects cause blurring of colours.
• Ambient light, shadows change the apparent colour of
the image.
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5. Skin colour based detection using combination of
HSV & RGB colour space
 Allows fast processing.
 Robust to geometric variations of the skin patterns.
 Robust to resolution changes.
 Experience suggests that human skin has a
characteristic colour, which is easily recognized by
humans.
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6. • Process of finding skin-colored pixels and regions in an
image or video.
• Skin Detector transforms a given pixel into an
appropriate color space .
• Then use a skin classifier to label the pixel whether it is
a skin or non-skin pixel.
• The color needs to be represented in a color space
• RGB color space ,HSV,YCrCb are common color space
used to represent images.
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7. • Pixel-Based Methods
• Classify each pixel as skin or non-skin individually,
independently from its neighbors.
• Color Based Methods fall in this category
• Region Based Methods
• Try to take the spatial arrangement of skin pixels into
account during the detection stage to enhance the methods
performance.
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8. Automatic Detection of Human
Body
 Detects whether there are human immoral scenes
present in an Image.
 The system marks skin-like pixels using combined
color and texture properties. .
 These skin regions are then fed to a specialized
grouper, which attempts to group a human figure.
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9. Automatic Detection of Human
Body (cont..)
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10. • The algorithm successfully extracts 43% of the test images
• This system is not as accurate as some recent object
recognition
• It is detecting jointed objects of highly variable shape
diverse range of poses, seen from many different camera
positions.
• Both lighting and background are uncontrolled previous
object recognition experiments.
• It might detect non humanbody whose color similar to
human
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11. A Novel Scheme for Intelligent
Recognition of immoral Images
• Features extracted from skin region and whole image.
• Fourier descriptors and signature of boundary of skin region
is used as shape descriptor features.
• Self Organizing Feature Maps (SOFM).
• Finally, the selected features are fed to parallel classifiers
• The output of each classifier is sent to decision making
component.
• experimental results are convincing but the results can
be improved by extracting high .tp:86.7% fp:6.64%
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13. • Large number of pictures taken under special lighting
• A feasible solution for the problem is to adapt the adopted skin
chroma distribution
• The skin tone is formed by the interaction between skin and
light
• Model based on Cb and Cr values can provide good coverage
of all human races.
• The popular skin colors of immoral images, including various
lighting conditions, into several categories
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14.  every sample skin image is first trans-formed from
the RGB color space to the YCbCr space
YCrCb is an encoded nonlinear RGB
signal, commonly used by European
television studios and for image
compression work.
Y – Luminance component, C –
Chorminance
The detection rates of the immoral images
and the ordinary images are 71.7% and
84.2%,
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15. HSV based skin detection
• HSV skin detection : -
• Image is converted from RGB colour space to HSV
colour space.
• The converted image is probed for the skin colours
according to the H channel discription for skin colours.
• The noisy image is passed through morphological
filters to produce the desired image.
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16. HSV based skin detection
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17. HSV based skin detection(cont..)
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20.  The objective of this paper is to show that for every color
space there exists an optimum skin detector scheme
 such that the performance of all these skin detectors schemes
is the same.
 Used 4 color space – RGB, YCrCb, HSV, Cr Cb
 Proved mathematically for the existence of optimum skin
color detector using Neyman-Pearson Test
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21. • Hsv size gave the best performance, superior to the other
model with less false detection
• Hsv model gives slightly better performance as compared to
Gaussian mixture.
• It is possible that color spaces other than RGB could result in
improved detection performance.
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22. comparison of 5 different color spaces HSV,
HS,Normalized RGB and YCrCb
HSV, HS gave the best results
Normalized rg is not far
behind
YCrCb gave poor results
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23. The project will involve building -:
 Create a skin color/texture database
 Extract frames from the video to get images that
can be used for analysis
 Search for skin color in the image
 Extract the image part with the skin color.
 Shape identification
 If match stop video for some minutes repeat,this
after sometime
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24. 1. Get the
video/image
Pass the video/image
Break the video into
images
Mark objectionable
Detect
skin color
Extract the part with
skin color in it
Shape
identification
No Yes
No end
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25.  Create a skin color/texture database
 Extract frames from the video to get images that
can be used for analysis
 Search for skin color in the image
 Extract the image part with the skin color.
 Shape identification
 Post on imposition
 We use opencv for implementing modules
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26.  With consistency increase growth in the immoral scenece
market we need to stop the people to have illegal use of the it
 This tool will help them to detect and block the supply this
things to the people who are not supposed to see them.
 This can be also in the censer board to detect any kind of porn.
 This can also be used by the parents to stop their children from
watching unwanted thing without their permission or till
he/she is not up to certain age limit.
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27. THANK YOU
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