[Scipy-svn] r4056 - trunk/scipy/ndimage
scipy-svn at scipy.org
scipy-svn at scipy.org
Thu Mar 27 20:28:13 EDT 2008
Author: tom.waite
Date: 2008-03-27 19:28:09 -0500 (Thu, 27 Mar 2008)
New Revision: 4056
Modified:
trunk/scipy/ndimage/_segmenter.py
Log:
Fixed docstring underline.
Modified: trunk/scipy/ndimage/_segmenter.py
===================================================================
--- trunk/scipy/ndimage/_segmenter.py 2008-03-28 00:27:43 UTC (rev 4055)
+++ trunk/scipy/ndimage/_segmenter.py 2008-03-28 00:28:09 UTC (rev 4056)
@@ -41,7 +41,7 @@
hystereis stage of Canny filter
Parameters
- ..........
+ ----------
magnitude : {nd_array}
the output from the canny_nonmax_supress() method
@@ -50,7 +50,7 @@
contains the low and high thesholds determined from canny_nonmax_supress()
Returns
- ..........
+ ----------
edge_image : {nd_array}
the labeled edge image that can be displayed and used for later processing
@@ -70,7 +70,7 @@
non-max supression stage of Canny filter
Parameters
- ..........
+ ----------
horz_DGFilter : {nd_array}
the horizonal filtered image using the derivative of Gaussian kernel filter.
@@ -96,7 +96,7 @@
high threshold applied to magnitude filtered
Returns
- ..........
+ ----------
magnitude : {nd_array}
magnitude of X and Y filtered for critical samples
@@ -123,7 +123,7 @@
returns the X and Y filterd image
Parameters
- ..........
+ ----------
slice : {nd_array}
2D image array
@@ -132,7 +132,7 @@
derivative of Gaussian kernel from build_d_gauss_kernel()
Returns
- ..........
+ ----------
horz_DGFilter : {nd_array}
X filtered image
@@ -165,7 +165,7 @@
bounding box set equal to the full image
Parameters
- ..........
+ ----------
label_image : {nd_array}
an image with labeled regions from get_blobs() method
@@ -177,7 +177,7 @@
Region of Interest structure that has blob bounding boxes
Returns
- ..........
+ ----------
mat_image : {nd_array}
thinned edge image
@@ -257,7 +257,7 @@
texture_filter(raw_image, label_image, laws_kernel, ROI=None, verbose=0)
Parameters
- ..........
+ ----------
raw_image : {nd_array}
raw double image
@@ -285,7 +285,7 @@
determines if return is to include Law's filter images
Returns
- ..........
+ ----------
laws_image : {dictionary}
contains 21 Laws filtered regions for each ROI
@@ -360,7 +360,7 @@
from each ROI in the raw data.
Parameters
- ..........
+ ----------
label_image : {nd_array}
an image with labeled regions from get_blobs() method
@@ -373,7 +373,7 @@
Returns
- ..........
+ ----------
none
@@ -416,7 +416,7 @@
stage processing to add blob features.
Parameters
- ..........
+ ----------
label_image : {nd_array}
an image with labeled regions from get_blobs() method
@@ -425,7 +425,7 @@
number of blobs in image determined by get_blobs() method
Returns
- ..........
+ ----------
ROIList : {dictionary}
structure that has the bounding box and area of each blob
@@ -472,13 +472,13 @@
image to labelled regions
Parameters
- ..........
+ ----------
binary_edge_image : {nd_array}
an binary image
Returns
- ..........
+ ----------
label_image : {nd_array}
an image with labeled regions from get_blobs() method
@@ -500,7 +500,7 @@
take sobel-filtered image and return binary edges
Parameters
- ..........
+ ----------
sobel_edge_image : {nd_array}
edge-filtered image from sobel_image() method
@@ -515,7 +515,7 @@
low threshold applied to edge filtered image for edge generation
Returns
- ..........
+ ----------
sobel_edge : {nd_array}
binary edge-image
@@ -536,13 +536,13 @@
take 2D raw or filtered image slice and get sobel-filtered image
Parameters
- ..........
+ ----------
filtered_slice : {nd_array}
raw or pre-processed (filtered and thresholded) 2D image
Returns
- ..........
+ ----------
sobel_edge_image : {nd_array}
edge-filtered image from sobel_image() method
@@ -574,7 +574,7 @@
take 2D image slice and filter and pre-filter and threshold prior to segmentation
Parameters
- ..........
+ ----------
slice : {nd_array}
input 2D image. gets cast to int16
@@ -592,7 +592,7 @@
is binary conversion off
Returns
- ..........
+ ----------
edge_filter : {nd_array}
filtered and thresholded image that can be (optional) binary.
@@ -623,14 +623,14 @@
take an ROI structure and find the maximum area bounding box
Parameters
- ..........
+ ----------
ROI : {dictionary}
the ROI is the automatically extracted blob regions of interest
and contains the rectangular bounding box of each blob.
Returns
- ..........
+ ----------
bounding_box : {dictionary}
the Left, Right, Top and Bottom of the LARGEST bounding box in the ROI
@@ -649,14 +649,14 @@
get all bounding boxes in the ROI (feature) dictionary
Parameters
- ..........
+ ----------
ROI : {dictionary}
the ROI is the automatically extracted blob regions of interest
and contains the rectangular bounding box of each blob.
Returns
- ..........
+ ----------
measures : {dictionary}
the Left, Right, Top and Bottom of all bounding boxes in the ROI
@@ -687,7 +687,7 @@
build hamming-windowed FIR filter with sinc kernel
Parameters
- ..........
+ ----------
aperature : {int}, optional
the number of coefficients in the filter. default is 21. needs to be ODD
@@ -696,7 +696,7 @@
the upper cutoff in digital frequency units
Returns
- ..........
+ ----------
FIRFilter : {dictionary}
filter kernel
@@ -741,7 +741,7 @@
build the derivative of Gaussian kernel for Canny edge filter
Parameters
- ..........
+ ----------
gWdith : {int}, optional
width of derivative of Gaussian kernel.
default value is 20
@@ -751,7 +751,7 @@
default value is 1.0
Returns
- ..........
+ ----------
DGFilter : {dictionary}
filter kernel
@@ -779,12 +779,12 @@
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
MATFilter : {dictionary}
morphology filter kernels. there are 2 sets of 8 3x3 masks
@@ -898,12 +898,12 @@
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
LAWSFilter : {dictionary}
a set of 6 length-7 Laws texture kernels
@@ -934,13 +934,13 @@
used in Laws texture feature extraction.
Parameters
- ..........
+ ----------
LAWSFilter : {dictionary}
a set of 6 length-7 Laws texture kernels
Returns
- ..........
+ ----------
masks : {list}
a list of 21 7x7 kernels (2D nd_array)
@@ -993,12 +993,12 @@
builds 4 discs with plane wave texture. used for test and demo
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
discs : {nd_array}
a 512x512 image with 4 test discs (one per quadrant)
@@ -1026,12 +1026,12 @@
build 4 discs of equal radius and different mean values for edge/blob testing
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
test_image : {nd_array}
a 512x512 image with 4 test discs (one per quadrant)
@@ -1062,12 +1062,12 @@
build 2 discs of equal radius and same mean values for texture testing
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
test_image : {nd_array}
a 512x512 image with 4 test discs (one per quadrant)
@@ -1099,12 +1099,12 @@
with these test patterns will return Law's kernel outer product matrices.
Parameters
- ..........
+ ----------
None
Returns
- ..........
+ ----------
test_image : {nd_array}
a 512x512 image with 4 test discs (one per quadrant)
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