讨论数量:
刚用golang写了个四图合一
package main
import (
"github.com/disintegration/imaging"
"image"
"image/color"
"log"
)
func main() {
src, err := imaging.Open("testdata/branches.png")
if err != nil {
log.Fatalf("failed to open image: %v", err)
}
// 切割原始图片
src = imaging.CropAnchor(src, 300, 300, imaging.Center)
// 固定宽度缩放
src = imaging.Resize(src, 200, 0, imaging.Lanczos)
// 聚集
img1 := imaging.Blur(src, 5)
// 灰度图片
img2 := imaging.Grayscale(src)
// 对比度调整
img2 = imaging.AdjustContrast(img2, 20)
// 锐化
img2 = imaging.Sharpen(img2, 2)
// 倒置图片
img3 := imaging.Invert(src)
// 求得梯度图像
img4 := imaging.Convolve3x3(
src,
[9]float64{
-1, -1, 0,
-1, 1, 1,
0, 1, 1,
},
nil,
)
// 使用图片粘贴
dst := imaging.New(400, 400, color.NRGBA64{0, 0, 0, 0})
dst = imaging.Paste(dst, img1, image.Pt(0, 0))
dst = imaging.Paste(dst, img2, image.Pt(0, 200))
dst = imaging.Paste(dst, img3, image.Pt(200, 0))
dst = imaging.Paste(dst, img4, image.Pt(200, 200))
err = imaging.Save(dst, "testdata/out_example.jpg")
if err != nil {
log.Fatalf("failed to save image: %v", err)
}
}
输出效果
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