Add traditional image handling lib.

image_sdk/README.md

@@ -0,0 +1,46 @@
+# 图像预处理SDK
+在OCR文字识别的时候，我们得到的图像一般情况下都不是正的，多少都会有一定的倾斜。
+所以需要将图片转正。并且图片有可能是透视视角拍摄，需要重新矫正。
+
+### SDK功能
+-图像转正
+-图像二值化，灰度化，去燥等经典算法。
+
+### 完善中的功能：
+-完善透视矫正
+-完善文字方向检测算法，判断转正后的图片角度，以便进一步旋转图片使得文字水平。
+
+## 运行例子
+1. 首先下载例子代码
+```bash
+git clone https://github.com/mymagicpower/AIAS.git
+```
+
+2. 导入examples项目到IDE中：
+```
+cd image_sdk
+```
+
+3. 运行成功后，命令行应该看到下面的信息:
+```text
+319.0 , 865.0
+319.0 , 113.0
+785.0 , 113.0
+785.0 , 865.0
+startLeft = 319
+startUp = 113
+width = 467
+height = 753
+```
+输出图片效果如下：
+![ocr_result](https://djl-model.oss-cn-hongkong.aliyuncs.com/AIAS/image_sdk/images/rotation.png)
+
+
+### 帮助 
+[点击下载SDK](https://djl-model.oss-cn-hongkong.aliyuncs.com/jars/aais-image-lib-0.1.0.jar). 
+
+添加依赖lib - aais-image-lib-0.1.0.jar：
+![lib](https://djl-model.oss-cn-hongkong.aliyuncs.com/AIAS/image_sdk/images/lib.png)
+
+## QQ群：
+![Screenshot](https://djl-model.oss-cn-hongkong.aliyuncs.com/AIAS/OCR/OCR_QQ.png)

image_sdk/image_sdk.iml

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+    <orderEntry type="library" name="Maven: org.bytedeco:leptonica:linux-arm64:1.78.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:leptonica:linux-ppc64le:1.78.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:leptonica:macosx-x86_64:1.78.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:leptonica:windows-x86:1.78.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:leptonica:windows-x86_64:1.78.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract-platform:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:android-arm:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:android-arm64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:android-x86:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:android-x86_64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:linux-x86:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:linux-x86_64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:linux-armhf:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:linux-arm64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:linux-ppc64le:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:macosx-x86_64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:windows-x86:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" name="Maven: org.bytedeco:tesseract:windows-x86_64:4.1.0-1.5.2" level="project" />
+    <orderEntry type="library" scope="PROVIDED" name="Maven: org.projectlombok:lombok:1.18.18" level="project" />
+    <orderEntry type="library" name="Maven: junit:junit:4.13.1" level="project" />
+    <orderEntry type="library" name="Maven: org.hamcrest:hamcrest-core:1.3" level="project" />
+    <orderEntry type="library" name="aais-image-lib-0.1.0" level="project" />
+  </component>
+</module>

image_sdk/pom.xml

@@ -0,0 +1,88 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+  ~ Licensed to the Apache Software Foundation (ASF) under one
+  ~ or more contributor license agreements.  See the NOTICE file
+  ~ distributed with this work for additional information
+  ~ regarding copyright ownership.  The ASF licenses this file
+  ~ to you under the Apache License, Version 2.0 (the
+  ~ "License"); you may not use this file except in compliance
+  ~ with the License.  You may obtain a copy of the License at
+  ~
+  ~   http://www.apache.org/licenses/LICENSE-2.0
+  ~
+  ~ Unless required by applicable law or agreed to in writing,
+  ~ software distributed under the License is distributed on an
+  ~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  ~ KIND, either express or implied.  See the License for the
+  ~ specific language governing permissions and limitations
+  ~ under the License.
+  -->
+
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+
+    <groupId>calvin</groupId>
+    <artifactId>image-sdk</artifactId>
+    <version>0.1</version>
+
+    <properties>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+        <maven.compiler.source>1.8</maven.compiler.source>
+        <maven.compiler.target>1.8</maven.compiler.target>
+    </properties>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>8</source>
+                    <target>8</target>
+                </configuration>
+                <version>3.8.1</version>
+            </plugin>
+        </plugins>
+    </build>
+    <dependencies>
+        <dependency>
+            <groupId>com.google.code.gson</groupId>
+            <artifactId>gson</artifactId>
+            <version>2.8.6</version>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+            <version>1.7.30</version>
+        </dependency>
+        <dependency>
+            <groupId>commons-cli</groupId>
+            <artifactId>commons-cli</artifactId>
+            <version>1.4</version>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.logging.log4j</groupId>
+            <artifactId>log4j-slf4j-impl</artifactId>
+            <version>2.12.1</version>
+        </dependency>
+        <dependency>
+            <groupId>org.bytedeco</groupId>
+            <artifactId>javacv-platform</artifactId>
+            <version>1.5.2</version>
+        </dependency>
+        <dependency>
+            <groupId>org.projectlombok</groupId>
+            <artifactId>lombok</artifactId>
+            <version>1.18.18</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>junit</groupId>
+            <artifactId>junit</artifactId>
+            <version>4.13.1</version>
+        </dependency>
+    </dependencies>
+
+</project>

image_sdk/src/main/java/me/calvin/example/TestBinaryUtils.java

@@ -0,0 +1,45 @@
+package me.calvin.example;
+
+import me.calvin.opencv.utils.BinaryUtils;
+import me.calvin.opencv.utils.GeneralUtils;
+import me.calvin.opencv.utils.GrayUtils;
+import org.bytedeco.opencv.opencv_core.Mat;
+import org.junit.Test;
+
+public class TestBinaryUtils {
+
+    @Test
+    /**
+     * 测试opencv自带的二值化
+     */
+    public void testBinaryNative(){
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/binary/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByAdapThreshold(src);
+
+        src = BinaryUtils.binaryNative(src);
+
+        GeneralUtils.saveImg(src , destPath + "binaryNative.png");
+    }
+
+    @Test
+    /**
+     * 测试自定义二值化
+     */
+    public void testBinaryzation(){
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/binary/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByAdapThreshold(src);
+
+        src = BinaryUtils.binaryzation(src);
+
+        GeneralUtils.saveImg(src , destPath + "binaryzation.png");
+
+    }
+}

image_sdk/src/main/java/me/calvin/example/TestGrayUtils.java

@@ -0,0 +1,95 @@
+package me.calvin.example;
+
+import me.calvin.opencv.utils.GeneralUtils;
+import me.calvin.opencv.utils.GrayUtils;
+import org.bytedeco.opencv.opencv_core.Mat;
+import org.junit.Test;
+
+
+/**
+ * 测试灰度化
+ */
+public class TestGrayUtils {
+    @Test
+    /**
+     * 测试opencv自带的灰度化方法
+     */
+    public void testGrayNative(){
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/gray/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayNative(src);
+
+        GeneralUtils.saveImg(src , destPath + "grayNative.png");
+    }
+
+    @Test
+    /**
+     * 测试细粒度灰度化方法
+     * 均值灰度化减噪
+     */
+    public void testGrayColByMidle() {
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/gray/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByMidle(src);
+
+        GeneralUtils.saveImg(src , destPath + "grayRowByMidle.png");
+    }
+
+
+    @Test
+    /**
+     * 测试细粒度灰度化方法
+     * k值灰度化减噪
+     */
+    public void testGrayColByKLargest() {
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/gray/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByKLargest(src);
+
+        GeneralUtils.saveImg(src , destPath + "grayRowByKLargest.png");
+    }
+
+    @Test
+    /**
+     * 测试细粒度灰度化方法
+     * 局部自适应阀值灰度化减噪
+     */
+    public void testGrayColByPartAdapThreshold() {
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/gray/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByPartAdapThreshold(src);
+
+        GeneralUtils.saveImg(src , destPath + "grayColByPartAdapThreshold.png");
+    }
+
+
+    @Test
+    /**
+     * 测试细粒度灰度化方法
+     * 全局自适应阀值灰度化减噪
+     */
+    public void testGrayColByAdapThreshold() {
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/gray/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByAdapThreshold(src);
+
+        GeneralUtils.saveImg(src , destPath + "grayColByAdapThreshold.png");
+    }
+
+
+}

image_sdk/src/main/java/me/calvin/example/TestRemoveNoiseUtils.java

@@ -0,0 +1,56 @@
+package me.calvin.example;
+
+import me.calvin.opencv.utils.BinaryUtils;
+import me.calvin.opencv.utils.GeneralUtils;
+import me.calvin.opencv.utils.GrayUtils;
+import me.calvin.opencv.utils.NoiseUtils;
+import org.bytedeco.opencv.opencv_core.Mat;
+import org.junit.Test;
+
+/**
+ * 测试降噪
+ */
+public class TestRemoveNoiseUtils {
+
+    @Test
+    /**
+     * 测试8邻域降噪
+     */
+    public void testNativeRemoveNoise(){
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/noise/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByPartAdapThreshold(src);
+
+        src = BinaryUtils.binaryzation(src);
+
+        // 8邻域降噪
+        src = NoiseUtils.navieRemoveNoise(src , 1);
+
+        GeneralUtils.saveImg(src , destPath + "nativeRemoveNoise.png");
+
+    }
+
+    @Test
+    /**
+     * 连通域降噪
+     */
+    public void testConnectedRemoveNoise(){
+        String imgPath = "src/test/resources/1.png";
+        String destPath = "build/output/noise/";
+
+        Mat src = GeneralUtils.matFactory(imgPath);
+
+        src = GrayUtils.grayColByPartAdapThreshold(src);
+
+        src = BinaryUtils.binaryzation(src);
+
+        // 连通域降噪
+        src = NoiseUtils.connectedRemoveNoise(src , 1);
+
+        GeneralUtils.saveImg(src , destPath + "connectedRemoveNoise.png");
+
+    }
+}

image_sdk/src/main/java/me/calvin/example/TestRotation.java

@@ -0,0 +1,57 @@
+package me.calvin.example;
+
+import me.calvin.opencv.utils.*;
+import org.bytedeco.opencv.opencv_core.*;
+
+import java.io.IOException;
+import java.util.stream.LongStream;
+
+import static org.bytedeco.opencv.global.opencv_imgproc.*;
+import static org.bytedeco.opencv.helper.opencv_imgcodecs.cvLoadImage;
+
+public class TestRotation {
+
+    public static void main(String[] args) throws IOException {
+        IplImage marcel_ = cvLoadImage("src/test/resources/ticket_r2.png");
+        Mat marcel = new Mat(marcel_);
+
+        GeneralUtils.saveImg(marcel, "build/output/srcImg.jpg");
+
+        // 边缘检测
+        Mat cannyMat = GeneralUtils.canny(marcel);
+        GeneralUtils.saveImg(cannyMat, "build/output/canny.jpg");
+
+        // 获取所有轮廓
+        MatVector contours = ContourUtils.getContours(cannyMat);
+
+        Mat resultImage = cannyMat.clone();
+        LongStream.range(0, contours.size())
+                .mapToObj(contours::get)
+                .forEach(
+                        contour -> {
+                            Mat points = new Mat();
+                            approxPolyDP(contour, points, arcLength(contour, true) * 0.02, true);
+                            drawContours(resultImage, new MatVector(points), -1, Scalar.BLUE);
+                        });
+        GeneralUtils.saveImg(resultImage, "build/output/contours.jpg");
+
+        // 获取最大外接矩形
+        RotatedRect rect = RectUtils.getMaxRect(contours);
+        Mat rectMat = marcel.clone();
+        Scalar scalar = new Scalar(255, 0, 0, 1);
+        Rect r = rect.boundingRect();
+        rectMat = DrawUtils.drawRect(rectMat, r, scalar);
+        GeneralUtils.saveImg(rectMat, "build/output/maxRect.jpg");
+
+        // 旋转矩形
+        Mat rotatedImg = RotationUtils.rotation(cannyMat, rect);
+        GeneralUtils.saveImg(rotatedImg, "build/output/rotatedImg.jpg");
+
+        Mat nativeRotatedImg = RotationUtils.rotation(marcel, rect);
+        GeneralUtils.saveImg(nativeRotatedImg, "build/output/nativeRotatedImg.jpg");
+
+        // 裁剪矩形
+        Mat cutMat = RectUtils.cutRect(rotatedImg, nativeRotatedImg);
+        GeneralUtils.saveImg(cutMat, "build/output/cutRect.jpg");
+    }
+}

image_sdk/src/main/resources/log4j2.xml

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Configuration status="INFO">
+  <Appenders>
+    <Console name="console" target="SYSTEM_OUT">
+      <PatternLayout
+          pattern="[%-5level] - %msg%n"/>
+    </Console>
+  </Appenders>
+  <Loggers>
+    <Root level="info" additivity="false">
+      <AppenderRef ref="console"/>
+    </Root>
+    <Logger name="me.calvin" level="${sys:me.calvin.logging.level:-info}" additivity="false">
+      <AppenderRef ref="console"/>
+    </Logger>
+  </Loggers>
+</Configuration>