MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C7FD2C.D286B3A0" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Binary Image Algorithm

This presentation contains content that your browser may not be able to = show properly. This presentation was optimized for more recent versions of Micro= soft Internet Explorer.

If you would like to proceed anyway, click here.

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‹date/time&= #8250;
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------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages_files/editdata.mso Content-Transfer-Encoding: base64 Content-Type: application/x-mso QWN0aXZlTWltZQAAAfAEAAAA/////0AAA/AJAAAAAAAlBAEAAAABAAAL8AQAAAASNFZ4 ------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Binary Image Algorithm
Binary Image Algorithm
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What is = an Object?
•What is an object?
-Binary image = ;
•Connected cluste= r of black pixels on a white background
•Connected cluste= r of white pixels on a black background
•Objects can also= have holes in them
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Content-Type: image/gif R0lGODlhGQAQAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAQAX AA4AgAAAAAAAAAIURI6pC7YPo5y02ouz3rz76nChBhQAOx== ------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages_files/slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Binary Image Algorithm
Goals of Image Analysis
&#= 8226;Identify objects
&= #8211;Objects can have holes in them
&#= 8226;Find their locations
&#= 8226;Find their size
• <= /div>
= 226;If certain objects are small, it can be ignored.
= 226;The decision to ignore any size object is taken by the user<= /div>
------=_NextPart_01C7FD2C.D286B3A0 Content-Location: file:///C:/D9022913/01BinaryImages_files/slide0016.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Binary Image Algorithm
Loss less Processing
•Noth= ing is removed or ignored
•No iteration, approximation
•No floating point arithmetic
4
Cell Decomposition
•Object is repres= ented by
-List of pair of numbers
•Pixel is square&= #13;
-Instead of a poi= nt
5
Definitions
•Definitions =
-A vertex is a 0-cell
-An edge is a 1-cell
•Boundaries consi= sts of 2 end-points as 0-cells
•
•
•
-A pixel is a 2-cell
•Boundaries consi= sts of 4 edges as 1-cell
•
•
-A voxel is a 3-cell
•Boundaries consi= sts of 6 faces as 2-cells
•
3D"pixel 3Dvoxel
6
Cell Decomposition of an Image
Two adjacent edges as 1-ce= lls
share a vertex, a 0-cell
Two adjacent pixels as 2-ce= lls
share an edge, 1-cell
Edge: 1-cell
Edge: 1-cell
Vertex: 0-cell
<= ![endif]>
Edge: 1-cell
The image is made of k-cells that are attached to each other along (k-1) cells= .
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