论文标题
BAT优化基于分水岭的分割层
Bat Optimized Watershed based Segmentation of Lamina Cribrosa
论文作者
论文摘要
椎板Cribrosa（LC）的分割是检测青光眼损伤的挑战性任务。在本文中，采用了使用BAT优化的流域分割来分割LC的新方法。通过使用小波变换液晶结构进行分解。然后，使用BAT算法优化了分解的图像，并通过施加直方图均衡，将优化的图像归一化。分水岭算法用于从其外层分割椎板cribrosa。使用一些参数，例如PSNR，MSE，F-MEASER，RAND索引，灵敏度，特异性，SSIM和精度，可以计算提出系统的性能。结果表明，所提出的方法提供了更高的精度为99.29％。
The segmentation of Lamina Cribrosa(LC) is a challenging task to detect the glaucomatous damage. In this paper a new method of segmenting the LC using bat optimized Watershed segmentation is done. By using wavelet transform LC structures are decomposed. Then, the decomposed image is optimized using Bat algorithm and by applying histogram equalization the optimized image is normalized. Watershed algorithm is used to segment the Lamina Cribrosa from its outer layer. Using some parameters like PSNR, MSE, F-Measure, rand index, sensitivity, specificity, SSIM and accuracy, the performance of the proposed system is calculated. The results show that the proposed method provides higher accuracy of 99.29%.
