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go/src/image/decode_example_test.go
Russ Cox c007ce824d build: move package sources from src/pkg to src
Preparation was in CL 134570043.
This CL contains only the effect of 'hg mv src/pkg/* src'.
For more about the move, see golang.org/s/go14nopkg.
2014-09-08 00:08:51 -04:00

141 lines
7.2 KiB
Go

// Copyright 2012 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// This example demonstrates decoding a JPEG image and examining its pixels.
package image_test
import (
"encoding/base64"
"fmt"
"image"
"log"
"strings"
// Package image/jpeg is not used explicitly in the code below,
// but is imported for its initialization side-effect, which allows
// image.Decode to understand JPEG formatted images. Uncomment these
// two lines to also understand GIF and PNG images:
// _ "image/gif"
// _ "image/png"
_ "image/jpeg"
)
func Example() {
// Decode the JPEG data. If reading from file, create a reader with
//
// reader, err := os.Open("testdata/video-001.q50.420.jpeg")
// if err != nil {
// log.Fatal(err)
// }
// defer reader.Close()
reader := base64.NewDecoder(base64.StdEncoding, strings.NewReader(data))
m, _, err := image.Decode(reader)
if err != nil {
log.Fatal(err)
}
bounds := m.Bounds()
// Calculate a 16-bin histogram for m's red, green, blue and alpha components.
//
// An image's bounds do not necessarily start at (0, 0), so the two loops start
// at bounds.Min.Y and bounds.Min.X. Looping over Y first and X second is more
// likely to result in better memory access patterns than X first and Y second.
var histogram [16][4]int
for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
for x := bounds.Min.X; x < bounds.Max.X; x++ {
r, g, b, a := m.At(x, y).RGBA()
// A color's RGBA method returns values in the range [0, 65535].
// Shifting by 12 reduces this to the range [0, 15].
histogram[r>>12][0]++
histogram[g>>12][1]++
histogram[b>>12][2]++
histogram[a>>12][3]++
}
}
// Print the results.
fmt.Printf("%-14s %6s %6s %6s %6s\n", "bin", "red", "green", "blue", "alpha")
for i, x := range histogram {
fmt.Printf("0x%04x-0x%04x: %6d %6d %6d %6d\n", i<<12, (i+1)<<12-1, x[0], x[1], x[2], x[3])
}
// Output:
// bin red green blue alpha
// 0x0000-0x0fff: 353 759 7228 0
// 0x1000-0x1fff: 629 2944 1036 0
// 0x2000-0x2fff: 1075 2319 984 0
// 0x3000-0x3fff: 838 2291 988 0
// 0x4000-0x4fff: 540 1302 542 0
// 0x5000-0x5fff: 319 971 263 0
// 0x6000-0x6fff: 316 377 178 0
// 0x7000-0x7fff: 581 280 216 0
// 0x8000-0x8fff: 3457 228 274 0
// 0x9000-0x9fff: 2294 237 334 0
// 0xa000-0xafff: 938 283 370 0
// 0xb000-0xbfff: 322 338 401 0
// 0xc000-0xcfff: 229 386 295 0
// 0xd000-0xdfff: 263 416 281 0
// 0xe000-0xefff: 538 433 312 0
// 0xf000-0xffff: 2758 1886 1748 15450
}
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