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Segmentation

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Image Segmentation: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Image Segmentation ,[object Object],[object Object],[object Object],[object Object]
Edge Detection: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Determining Intensity Values for Threshold Thresholding separate foreground pixels from background pixels and can be performed before or after applying a morphological operation to an image. While a threshold operation produces a binary image and rely upon the definition of an intensity value. This intensity value is compared to each pixel value within the image and an output pixel is generated based upon the conditions stated within the threshold.
[object Object],Intensity histogram based segmentation
REGION GROWING ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],10 10 10 10 10 10 10 10 10 10 69 70 10 10 59 10 60 64 59 56 60 10 59 10 60 70 10 62 10 60 59 65 67 10 65 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Region-Oriented Segmentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Split and Merge Approach: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EXAMPLE
The Split-and-Merge Algorithm Sample image First split 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0
Second split Third split 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0
[object Object],Final result 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0
CONTOUR TRACING ,[object Object],[object Object]
CONTOUR TRACING TECHNIQUE ,[object Object]
ARITHMETIC OPERARTIONS X
Resources: ,[object Object],[object Object],[object Object]
 

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+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 

Segmentation

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  • 4. Determining Intensity Values for Threshold Thresholding separate foreground pixels from background pixels and can be performed before or after applying a morphological operation to an image. While a threshold operation produces a binary image and rely upon the definition of an intensity value. This intensity value is compared to each pixel value within the image and an output pixel is generated based upon the conditions stated within the threshold.
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  • 10. The Split-and-Merge Algorithm Sample image First split 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0
  • 11. Second split Third split 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 0 3 1 4 9 9 8 1 0 1 1 8 8 8 4 1 0 1 1 6 6 6 3 1 0 1 1 5 6 6 3 1 0 1 1 5 6 6 2 1 0 1 1 1 1 1 1 0 0
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Hinweis der Redaktion

  1. The result of image segmentation is a set of regions that collectively cover the entire image, or a set of contours extracted from the image (see edge detection ). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color , intensity , or texture . Adjacent regions are significantly different with respect to the same characteristic(s)