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scikit-image/skimage/viewer/plugins/lineprofile.py
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2014-01-29 23:27:34 +11:00

160 lines
5.3 KiB
Python

import warnings
import numpy as np
from skimage.util.dtype import dtype_range
from skimage import draw
from skimage import measure
from .plotplugin import PlotPlugin
from ..canvastools import ThickLineTool
__all__ = ['LineProfile']
class LineProfile(PlotPlugin):
"""Plugin to compute interpolated intensity under a scan line on an image.
See PlotPlugin and Plugin classes for additional details.
Parameters
----------
maxdist : float
Maximum pixel distance allowed when selecting end point of scan line.
epsilon : float
Deprecated. Use `maxdist` instead.
limits : tuple or {None, 'image', 'dtype'}
(minimum, maximum) intensity limits for plotted profile. The following
special values are defined:
None : rescale based on min/max intensity along selected scan line.
'image' : fixed scale based on min/max intensity in image.
'dtype' : fixed scale based on min/max intensity of image dtype.
"""
name = 'Line Profile'
def __init__(self, maxdist=10, epsilon='deprecated',
limits='image', **kwargs):
super(LineProfile, self).__init__(**kwargs)
if not epsilon == 'deprecated':
warnings.warn("Parameter `epsilon` deprecated; use `maxdist`.")
maxdist = epsilon
self.maxdist = maxdist
self._limit_type = limits
print(self.help())
def attach(self, image_viewer):
super(LineProfile, self).attach(image_viewer)
image = image_viewer.original_image
if self._limit_type == 'image':
self.limits = (np.min(image), np.max(image))
elif self._limit_type == 'dtype':
self._limit_type = dtype_range[image.dtype.type]
elif self._limit_type is None or len(self._limit_type) == 2:
self.limits = self._limit_type
else:
raise ValueError("Unrecognized `limits`: %s" % self._limit_type)
if not self._limit_type is None:
self.ax.set_ylim(self.limits)
h, w = image.shape[0:2]
x = [w / 3, 2 * w / 3]
y = [h / 2] * 2
self.line_tool = ThickLineTool(self.image_viewer.ax,
maxdist=self.maxdist,
on_move=self.line_changed,
on_change=self.line_changed)
self.line_tool.end_points = np.transpose([x, y])
scan_data = measure.profile_line(image,
*self.line_tool.end_points[:, ::-1])
self.scan_data = scan_data
if scan_data.ndim == 1:
scan_data = scan_data[:, np.newaxis]
self.reset_axes(scan_data)
self._autoscale_view()
def help(self):
helpstr = ("Line profile tool",
"+ and - keys or mouse scroll changes width of scan line.",
"Select and drag ends of the scan line to adjust it.")
return '\n'.join(helpstr)
def get_profiles(self):
"""Return intensity profile of the selected line.
Returns
-------
end_points: (2, 2) array
The positions ((x1, y1), (x2, y2)) of the line ends.
profile: list of 1d arrays
Profile of intensity values. Length 1 (grayscale) or 3 (rgb).
"""
profiles = [data.get_ydata() for data in self.profile]
return self.line_tool.end_points, profiles
def _autoscale_view(self):
if self.limits is None:
self.ax.autoscale_view(tight=True)
else:
self.ax.autoscale_view(scaley=False, tight=True)
def line_changed(self, end_points):
x, y = np.transpose(end_points)
self.line_tool.end_points = end_points
scan = measure.profile_line(self.image_viewer.original_image,
*end_points[:, ::-1],
linewidth=self.line_tool.linewidth)
self.scan_data = scan
if scan.ndim == 1:
scan = scan[:, np.newaxis]
if scan.shape[1] != len(self.profile):
self.reset_axes(scan)
for i in range(len(scan[0])):
self.profile[i].set_xdata(np.arange(scan.shape[0]))
self.profile[i].set_ydata(scan[:, i])
self.ax.relim()
self._autoscale_view()
self.redraw()
def reset_axes(self, scan_data):
# Clear lines out
for line in self.ax.lines:
self.ax.lines = []
if scan_data.shape[1] == 1:
self.profile = self.ax.plot(scan_data, 'k-')
else:
self.profile = self.ax.plot(scan_data[:, 0], 'r-',
scan_data[:, 1], 'g-',
scan_data[:, 2], 'b-')
def output(self):
"""Return the drawn line and the resulting scan.
Returns
-------
line_image : (M, N) uint8 array, same shape as image
An array of 0s with the scanned line set to 255.
scan : (P,) or (P, 3) array of int or float
The line scan values across the image.
"""
(x1, y1), (x2, y2) = self.line_tool.end_points
line_image = np.zeros(self.image_viewer.original_image.shape[:2],
np.uint8)
rr, cc = draw.line(y1, x1, y2, x2)
line_image[rr, cc] = 255
return line_image, self.scan_data