图像分割质量的评估分析，包括TP, FP, TN, FN, Accuracy, Sensitivity, Precision, MCC, Dice, Jaccard等。

Let you evaluate the image segmentation quality scores, such TP, FP, TN, FN, Accuracy, Sensitivity, Precision, MCC, Dice, Jaccard 

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作者：Dang N. H. Thanh. Email: thanh.dnh.cs@gmail.com

Website: https://sites.google.com/view/crx/sdm 

需要安装statistics and Image Processing toolboxes。

You need to install the statistics and Image Processing toolboxes 

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参考文献：

1. Dang N. H. Thanh, Dvoenko Sergey, V. B. Surya Prasath, Nguyen Hoang Hai. BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 211-218, 2019. DOI: 10.5194/isprs-archives-XLII-2-W12-211-2019

2. Dang N. H. Thanh, Erkan Uğur, V. B. Surya Prasath, Vivek Kumar, Nguyen Ngoc Hien. A Skin Lesion Segmentation Method for Dermoscopic Images Based on Adaptive Thresholding with Normalization of Color Models. IEEE 2019 6th International Conference on Electrical and Electronics Engineering, Istanbul, 2019.

使用方法：

HOW TO USE: 

加载两幅图片：一张标准的分割图片A和需要进行分割的图片B。

Launch two images: a ground truth segmentation image A and an acquired segmented image B: 

A = imread('groundtruth.png'); 

B = imread('segmented.png');

然后调用函数：EvaluateImageSegmentationScores。

And call the function - EvaluateImageSegmentationScores: 

[Accuracy, Sensitivity, Fmeasure, Precision, MCC, Dice, Jaccard, Specitivity] = EvaluateImageSegmentationScores(A, B)

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