How to perform edge detection and image segmentation in Go?

To perform edge detection and image segmentation in Go, you can use the popular GoVision library which provides APIs for various computer vision tasks. Here's a step-by-step guide to perform edge detection and image segmentation using the GoVision library:

Step 1: Install the GoVision library. Run the following command in your terminal:

go get -u github.com/hybridgroup/gocv

Step 2: Import the required packages in your Go file:

import (
    "gocv.io/x/gocv"
)

Step 3: Load the image you want to work with:

img := gocv.IMRead("path/to/image.jpg", gocv.IMReadColor)

Step 4: Convert the loaded image to grayscale (for edge detection):

grayImg := gocv.NewMat()
gocv.CvtColor(img, &grayImg, gocv.ColorBGRToGray)

Step 5: Perform edge detection using the Canny algorithm:

edges := gocv.NewMat()
gocv.Canny(grayImg, &edges, 50, 200)

Step 6: Display the edges:

window := gocv.NewWindow("Edges")
window.IMShow(edges)
window.WaitKey(0)

Step 7: Perform image segmentation (e.g., using GrabCut algorithm):

mask := gocv.NewMat()
rect := image.Rect(10, 10, 100, 100)
gocv.GrabCut(img, &mask, rect, 5, gocv.GCInitWithRect)
gocv.Threshold(mask, &mask, 254, 255, gocv.ThresholdBinaryInv)

Step 8: Display the segmented image:

segmentedImage := gocv.NewMat()
img.CopyTo(&segmentedImage, mask)
window := gocv.NewWindow("Segmented Image")
window.IMShow(segmentedImage)
window.WaitKey(0)

That's it! You've performed edge detection and image segmentation using GoVision in Go. Remember to replace "path/to/image.jpg" with the actual path to your image file.