Bounding box

Library for finding the minimum bounding box of an image. It does so by simply iterating the image and checking which pixels surpass certain threshold, so they are considered as data points in the image which will delimit the bounding box.

Usage

package main

import (
	"image"
	_ "image/png"
	"os"
    "github.com/flesnuk/boundingbox"
)

func main() {
    infile, _ := os.Open("0004-001.png")
    defer infile.Close()
    img, _ := image.Decode(infile)
    bbox := boundingbox.Find(img, boundingbox.NewConfig(color.Gray{30}))
}

The NewConfig helper is useful for creating a configuration with the specified threshold color. By default the function used to compare the pixels is defined and exported as PixHasDataBlackBG. This does a simple comparison of RGB values, and if all are greater than the color threshold, it returns true.

There is a few options that can be customized:

• PixHasData: set custom function to compare when a pixel is considered as data or not.
• Bounds: by default uses the image bounds, but can be changed with this parameter.
• Parallel: sets the number of goroutines to process the image in parallel. Set to -1 for auto setting (use the runtime.NumCPU())