find.columns: Find column features in pixel map

In ClairBee/IO.Pixels: Functions for analysis of distribution of dead pixels (part of Inside Out project).

Description

Applies a linear convolution filter to identify vertical linear features in the pixel map.

Usage

find.columns(px, kernel.size = 5, midline = 1024.5, min.length = 3 *
  kernel.size, max.sep = 100)

Arguments

px	Data frame containing pixel coordinates to be grouped
kernel.size	Edge length of square kernel to be used in convolution. Default is 5 (aims to pick up line segments of length 5 or greater)
midline	Location of panel midline, which electrically separates the upper and lower panels, and so cannot be crossed by column defects. Default is 1024.5; if the detector has no midline separation, enter NA.
min.length	Minimum length of segment to retain after convolution. Default is 3 * kernel size.

Value

Data frame px, with column 'f.type' labelling columns found as feature type 'line.c'

ClairBee/IO.Pixels documentation built on May 6, 2019, 11:50 a.m.