Difference between revisions of "Task 3, Segmenting the original image"
From MIPAV
(→To use the FANTASM plug-in program) |
m |
||
Line 1: | Line 1: | ||
− | |||
<div style="font-style: normal; font-weight: normal; margin-bottom: 6pt; margin-left: 0pt; margin-right: 0pt; margin-top: 0pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font color="#000000"> You can segment the original image using either the FANTASM plug-in program or the Fuzzy C-Means algorithm. The FANTASM plug-in program, a different version of the Fuzzy C-Means algorithm, provides segmentation that is less sensitive to noise. This section provides directions for both:<br /></font></div><div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 24pt; margin-right: 0pt; margin-top: 5pt; text-align: left; text-decoration: none; text-indent: -24pt; text-transform: none; vertical-align: baseline"><font color="#000000"> Using FANTASM to segment the image <br /></font></div><div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 24pt; margin-right: 0pt; margin-top: 5pt; text-align: left; text-decoration: none; text-indent: -24pt; text-transform: none; vertical-align: baseline"><font color="#000000"> Using the Fuzzy C-Means algorithm to segment the image <br /></font></div> | <div style="font-style: normal; font-weight: normal; margin-bottom: 6pt; margin-left: 0pt; margin-right: 0pt; margin-top: 0pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font color="#000000"> You can segment the original image using either the FANTASM plug-in program or the Fuzzy C-Means algorithm. The FANTASM plug-in program, a different version of the Fuzzy C-Means algorithm, provides segmentation that is less sensitive to noise. This section provides directions for both:<br /></font></div><div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 24pt; margin-right: 0pt; margin-top: 5pt; text-align: left; text-decoration: none; text-indent: -24pt; text-transform: none; vertical-align: baseline"><font color="#000000"> Using FANTASM to segment the image <br /></font></div><div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 24pt; margin-right: 0pt; margin-top: 5pt; text-align: left; text-decoration: none; text-indent: -24pt; text-transform: none; vertical-align: baseline"><font color="#000000"> Using the Fuzzy C-Means algorithm to segment the image <br /></font></div> | ||
Line 9: | Line 8: | ||
|+ '''Figure 1. FANTASM dialog box''' | |+ '''Figure 1. FANTASM dialog box''' | ||
|- | |- | ||
− | | [[Image: | + | | [[Image:FANTASMDIalogBox.jpg]] |
|} | |} | ||
Revision as of 16:41, 15 June 2012
You can segment the original image using either the FANTASM plug-in program or the Fuzzy C-Means algorithm. The FANTASM plug-in program, a different version of the Fuzzy C-Means algorithm, provides segmentation that is less sensitive to noise. This section provides directions for both:
Using FANTASM to segment the image
Using the Fuzzy C-Means algorithm to segment the image
To use the FANTASM plug-in program
1 Select the original image.
3 Complete the dialog box:
In Number of desired classes, select either 2 classes if the CPF was stripped off the image previously or 3 classes if the CPF is still in the image.
In Segmentation, select Hard only, which is the only segmentation needed for measurements.
4 Click OK. The Initial Centroids dialog box opens.
5 Click OK.
A series of progress messages appear, and data appears on the Data page in the Output window (Figure 3).
In a few moments, processing completes, and an image appears (Figure 4A).
To use the Fuzzy C-Means algorithm
1 Select the original image.
2 Select Algorithms > Segmentation> Fuzzy C-Means > Single Channel in the MIPAV window.
The Fuzzy C-Means dialog box (Figure 5) opens.
3 Complete the dialog box:
In Number of desired classes, select either 2 classes if the CPF was stripped off the image previously or 3 classes if the CPF is still in the image.
In Segmentation, select Hard only, which is the only segmentation needed for measurements.
4 Click OK. The Initial Centroids dialog box (Figure 6) opens.
5 Click OK. A series of progress messages appear. In a few moments when processing completes:
Data appears on the Data page in the Output window (Figure 7)
An image appears (Figure 8).
Task 4, Transforming Talairach image and Talairach VOIs-1 to the original image