find.rows: Find row 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 horizontal linear features in the pixel map.

Usage

find.rows(px, kernel.size = 5, min.length = 3 * kernel.size)

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)
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.