  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%.
