Bitmap.us | Online 3D Segmentation Analysis Algorithm.

Online 3D Segmentation Analysis Algorithm.

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
  Combine two colours to create a new third colour to expose more detail of a tumor, blood clot, excess fluid or etc...
  Left-eye colour (α₁ =  Alpha Ratio:  (x) Img₁ + (1–α₁)): Threshold:
  (x)
  Right-eye colour (α₂ =  Alpha Ratio:  (x) Img₂ + (1–α₁)): Threshold:

  The Alpha Ratio values control opacity to add transparency in each individual photo for α₁ (x) Img₁ and α₂ (x) Img₂ (.0-.255).
  The Threshold values are used for segmenting objects in each individual photo for Img₁ and Img₂ (.0 -.255 or 1.0 - 255.0).

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

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

   Note: For best "Ratio" results use (.255) for colours and (.5) for Alpha 3D to Alpha 3D.

   This algorithm allows the comparison of two aligned image studies using color image segmentation
   based on thresholding to detect cancerous ailments in the body, or in the bloodstream.

Dicom (.dcm) to .jpg(jpeg) • Examples • Colours

Uploading can take 30-to-90 seconds or more depending on the photo size.

x Your photo should be in .jpg format not exceed 2MBytes per photo in filesize.

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