laser_camera_segmentation::texture_features Namespace Reference

Functions
def	eigen_texture
	calculates eigen values of covariance matrix accumulating statistics of sobel filter responses in an image block
def	visualize
Variables
tuple	eig_tex_np = eigen_texture(im, blocksize=s, filtersize=3)
tuple	im = hg.cvLoadImage('/home/haidai/svn/robot1/src/projects/08_03_dog_commands/dragonfly_color_calibration/untitled folder/camera_image.png')
tuple	s = (i+1)

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Function Documentation

def laser_camera_segmentation.texture_features.eigen_texture	(		cv_image,
			blocksize = 8,
			filtersize = 3
	)

calculates eigen values of covariance matrix accumulating statistics of sobel filter responses in an image block

Parameters:

cv_image	opencv image to calculate texture over
blocksize	size of block to accumulate statistics (in pixels)
filtersize	size of sobel filter to use (in pixels)

Returns:

numpy matrix of size (width, height, 2) where [:,:,0] is the set of first eigen values and [:,:,1] is the second set

Definition at line 43 of file texture_features.py.

def laser_camera_segmentation.texture_features.visualize

(

eigens

)

Definition at line 54 of file texture_features.py.

---

Variable Documentation

tuple laser_camera_segmentation::texture_features::eig_tex_np = eigen_texture(im, blocksize=s, filtersize=3)

Definition at line 87 of file texture_features.py.

tuple laser_camera_segmentation::texture_features::im = hg.cvLoadImage('/home/haidai/svn/robot1/src/projects/08_03_dog_commands/dragonfly_color_calibration/untitled folder/camera_image.png')

Definition at line 82 of file texture_features.py.

tuple laser_camera_segmentation::texture_features::s = (i+1)

Definition at line 85 of file texture_features.py.