
	All the files in this directory are kernels to be used with
	vconvolve.  These are for low pass filtering, edge detection,
	edge enhancement, and gradient estimation.

	avg3x3	a 3 x 3 region average matrix replaces the center pixel
		with the average of its neighbors

	avg5x5	a 5 x 5 region average matrix replaces the center pixel
		with the average of its neighbors

	avg7x7	a 7 x 7 region average matrix replaces the center pixel
		with the average of its neighbors

	edgekern a convolution kernel for finding edges

	frei_chen_w* 	The basis kernels for the Feir-Chen edge detection
			method. (See "Computer Vision" by Ballard & Brown)

	grad_135_degrees  Oriented gradient kernels - will give a bright point
			  in the image wherever you had an edge at 135 degrees

	grad_225_degrees  Oriented gradient kernels - will give a bright point
			  in the image wherever you had an edge at 225 degrees

	grad_315_degrees  Oriented gradient kernels - will give a bright point
			  in the image wherever you had an edge at 315 degrees

	grad_45_degrees  Oriented gradient kernels - will give a bright point
			 in the image wherever you had an edge at 45 degrees

	lpf5x5.xv	low pass filter kernel

	sobel_x		3x3 sobel kernel for detecting vertical edges

	sobel_y		3x3 sobel kernel for detecting horizontal edges

	unsharp3x3 	kernel for unsharp masking
