hough_circle_draw: Calculates a circular hough transform and draws the predicted...

In jspaezp/clasifierrr: Classifies images based on features

Description

This transform accentuates circular shapes

Usage

compile_hough_circle_draw(
  width,
  sobel_width,
  dim_img,
  tolerance = 11,
  pct_max = 0.95,
  blurr = 1/8
)

hough_circle_draw(
  img,
  width,
  sobel_width,
  tolerance,
  pct_max = 0.95,
  blurr = 1/8
)

Arguments

width	expected width of the circles
sobel_width	width of the sobel filter that will be used to detect the edges
pct_max	the percentage of the maximum intensity that is considered to draw the circles (defaults to 0.95, anyting 95 intensity)
img	image to transform
blurra	numeric value indicating the ratio of the width to blurr, 1 means have the blurr be the same as the circle width

Value

image

Functions

• compile_hough_circle_draw: pre-calculates parameters and returns a function

See Also

Other filters: circular_hough_transform(), compile_sobel_filter(), compile_variance_filter(), dog_filter()

Examples

x = readImage(system.file('images', 'shapes.png', package='EBImage'))
hough <- hough_circle_draw(x, 51, 3, 3)
# display(hough)
# display(generate_overlay(x, hough > 0.68))
hough <- hough_circle_draw(x, 71, 3, 3, 0.9)
# display(hough)
# display(generate_overlay(x, hough > 0.68))

jspaezp/clasifierrr documentation built on March 2, 2020, 11:20 a.m.