Bitmap.us | Online Scientific 3D Alpha Bitmap Colour Analysis Algorithm.

Online Scientific 3D Alpha Bitmap Colour Analysis Algorithm.

  Combine two colours to create a new third colour with an alpha bitmap, which is a bitmap that has transparent or
  semi-transparent pixels at a per-pixel opacity value for the comparison of two aligned image studies.

  (α₁ =   Opacity:  (x) (Img₁ + (1–α₁) = Left-eye Colour depth: )): Threshold:

             Gamma correction for (α₁ (x) Img₁): Left-eye Colour: Chosen Colour

  (x)
  (α₂ =  Opacity:  (x) (Img₂ + (1–α₁) = Right-eye Colour depth)): Threshold:

              Gamma correction for (α₂ (x) Img₂): Right-eye Colour: Chosen Colour

  The Opacity value control transparency in each individual photo for α₁ (x) Img₁ and α₂ (x) Img₂ (.0-.255).
  The Colour depth controls pixels in each individual photo for α₁ (x) Img₁ and α₂ (x) Img₂.
  The Threshold value is used for segmenting objectsfor α₁ (x) Img₁ and Img₂ (.0 -.255 or 1.0 - 255.0).
  The Gamma correction value is used for contrast enhancement for α₁ (x) Img₁ and Img₂ (.0 -.255).
  (x) means multiplication.

M = ( P=α ( Width: pixels (x)   Height: pixels )X  + ( 1-α=(α₁ and α₂) )Y )  (×) C = ((1–α₂) (×) B)

Choose left-eye photo (α₁ (x) Img₁ (for Img₁ over Img₂)):

URL: Or Disk:

(x)

Choose right-eye photo (α₂ (x) Img₂ (for Img₂ behind Img₁)):

URL: Or Disk:

Choose photo source direction:
Disk to DiskURL to URLright-eye URL to left-eye Diskleft-eye URL to right-eye Disk

   Result of algorithm = α₁ × Img₁ + (1–α₁) × α₂ × Img₂ + (1–α₁) × (1–α₂) × B for M (x) C.

   Note: For best "Opacity" results use (.255) for colours and (.5) for Opacity.

   This algorithm allows the comparison of two aligned image studies using color image segmentation .

Send Encrypted Photos Privately • Dicom (.dcm) to .jpg(jpeg) • Examples • Colours

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