diff --git a/README.md b/README.md
index 2c62427..2d1be6e 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ Remove image background automatically with LDBM algorithmn.
  - Run LBDMImageBackgroundRemover:
 
 ```bash
-LBDMImageBackgroundRemover /path/of/image /path/of/image_tag
+LDBMImageBackgroundRemover /path/of/image /path/of/image_tag
 ```
 
 ## Download Releases
@@ -20,14 +20,14 @@ LBDMImageBackgroundRemover /path/of/image /path/of/image_tag
 
 ## Build
 
-    1. Build and install [OpenCV](http://opencv.org/).
-    2. Build and install [Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page).
-    3. Install [Cmake](https://cmake.org/).
-    4. cd ${project file}
-    5. mkdir build
-    6. cd build
-    7. cmake ..
-    8. make
+ 1. Build and install [OpenCV](http://opencv.org/).
+ 2. Build and install [Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page).
+ 3. Install [Cmake](https://cmake.org/).
+ 4. cd ${project file}
+ 5. mkdir build
+ 6. cd build
+ 7. cmake ..
+ 8. make
 
 ## References
 
diff --git a/README.zh-cn.md b/README.zh-cn.md
index c9003a3..7205478 100644
--- a/README.zh-cn.md
+++ b/README.zh-cn.md
@@ -1,33 +1,35 @@
-# Learning Based Digital Matting 前景图像提取算法C/C++版
+# ldbm-image-background-remover
 
-*其他语言版本: [English](README.md), [简体中文](README.zh-cn.md).*
+基于LDBM算法的抠图工具。
 
-## 论文
+*Read this in other languages: [English](README.md), [简体中文](README.zh-cn.md).*
 
-```latex
-@InProceedings{ZhengICCV09,
-  author = {Yuanjie Zheng and Chandra Kambhamettu},
-  title = {Learning Based Digital Matting},
-  booktitle = {The 20th IEEE International Conference on Computer Vision},
-  year = {2009},
-  month = {September--October}
-}
-```
+## 样例
+
+[![LDBM Matting](https://github.com/whitelok/ldbm-image-background-remover/blob/master/resources/ldbm.png)](https://github.com/whitelok/ldbm-image-background-remover)
 
-## 演示
+- 运行 LBDMImageBackgroundRemover:
+
+```bash
+LDBMImageBackgroundRemover /path/of/image /path/of/image_tag
+```
 
-如图所示，左边第一张为需要进行前景图像分割的源图片，左边第二张图为标记图片。其中标记图片中的白色区域为确定的前景图像区域，灰色区域为前景图像边缘区域，黑色区域为背景区域。当输入源图片和标记图片之后，根据算法可得出右边前景图像提取后的图片，其中白色像素点为前景图像的像素点，黑色像素点为背景图像的像素点。
+## 下载预编译版本
 
-![图1](res/img/demo_1.png)
 
-![图2](res/img/demo_2.png)
 
-## 项目结构
+## 构建
 
--bin // 二进制可执行文件位置
+ 1. Build and install [OpenCV](http://opencv.org/).
+ 2. Build and install [Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page).
+ 3. Install [Cmake](https://cmake.org/).
+ 4. cd ${project file}
+ 5. mkdir build
+ 6. cd build
+ 7. cmake ..
+ 8. make
 
--data // 用于测试图片资源
+## 参考文献
 
--res // README文件演示用图片
+ - Zheng Y, Kambhamettu C. Learning based digital matting[C], Computer Vision, 2009 IEEE 12th International Conference on. IEEE, 2009: 889-896.
 
--src // 源代码