
- OpenCV 教程
- OpenCV - 首頁
- OpenCV - 概述
- OpenCV - 環境配置
- OpenCV - 儲存影像
- OpenCV - 讀取影像
- OpenCV - 寫入影像
- OpenCV - 圖形使用者介面 (GUI)
- 繪圖函式
- OpenCV - 繪製圓形
- OpenCV - 繪製直線
- OpenCV - 繪製矩形
- OpenCV - 繪製橢圓
- OpenCV - 繪製折線
- OpenCV - 繪製凸多邊形
- OpenCV - 繪製帶箭頭的直線
- OpenCV - 新增文字
- 濾波
- OpenCV - 雙邊濾波
- OpenCV - 方框濾波
- OpenCV - 平方盒濾波
- OpenCV - Filter2D
- OpenCV - 膨脹
- OpenCV - 腐蝕
- OpenCV - 形態學操作
- OpenCV - 影像金字塔
- Sobel 導數
- OpenCV - Sobel 運算元
- OpenCV - Scharr 運算元
- 攝像頭和人臉檢測
- OpenCV - 使用攝像頭
- OpenCV - 圖片中的人臉檢測
- 使用攝像頭進行人臉檢測
- OpenCV 有用資源
- OpenCV - 快速指南
- OpenCV - 有用資源
- OpenCV - 討論
OpenCV - 讀取影像為灰度
以下程式演示瞭如何使用 JavaFX 視窗讀取彩色影像為灰度並顯示它。在這裡,我們透過傳遞標誌 **IMREAD_GRAYSCALE** 以及包含彩色影像路徑的字串來讀取影像。
import java.awt.image.BufferedImage; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.image.ImageView; import javafx.scene.image.WritableImage; import javafx.stage.Stage; public class ReadingAsGrayscale extends Application { @Override public void start(Stage stage) throws Exception { WritableImage writableImage = loadAndConvert(); // Setting the image view ImageView imageView = new ImageView(writableImage); // Setting the position of the image imageView.setX(10); imageView.setY(10); // setting the fit height and width of the image view imageView.setFitHeight(400); imageView.setFitWidth(600); // Setting the preserve ratio of the image view imageView.setPreserveRatio(true); // Creating a Group object Group root = new Group(imageView); // Creating a scene object Scene scene = new Scene(root, 600, 400); // Setting title to the Stage stage.setTitle("Reading image as grayscale"); // Adding scene to the stage stage.setScene(scene); // Displaying the contents of the stage stage.show(); } public WritableImage loadAndConvert() throws Exception { // Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); // Instantiating the imagecodecs class Imgcodecs imageCodecs = new Imgcodecs(); String input = "C:/EXAMPLES/OpenCV/sample.jpg"; // Reading the image Mat src = imageCodecs.imread(input, Imgcodecs.IMREAD_GRAYSCALE); byte[] data1 = new byte[src.rows() * src.cols() * (int)(src.elemSize())]; src.get(0, 0, data1); // Creating the buffered image BufferedImage bufImage = new BufferedImage(src.cols(),src.rows(), BufferedImage.TYPE_BYTE_GRAY); // Setting the data elements to the image bufImage.getRaster().setDataElements(0, 0, src.cols(), src.rows(), data1); // Creating a WritableImage WritableImage writableImage = SwingFXUtils.toFXImage(bufImage, null); System.out.println("Image Read"); return writableImage; } public static void main(String args[]) throws Exception { launch(args); } }
輸入影像
假設以上程式中指定的輸入影像為 **sample.jpg**。

輸出影像
執行程式後,您將獲得以下輸出。

廣告