Sánchez C I, Hornero R, López M I, Poza J
Dep. de Teoria de Ia Senal y Comunicaciones, Valladolid University, Spain.
Conf Proc IEEE Eng Med Biol Soc. 2004;2004:1624-7. doi: 10.1109/IEMBS.2004.1403492.
An automatic method to detect hard exudates, a lesion associated with diabetic retinopathy, is proposed. The algorithm found on their color, using a statistical classification, and their sharp edges, applying an edge detector, to localize them. A sensitivity of 79.62% with a mean number of 3 false positives per image is obtained in a database of 20 retinal image with variable color, brightness and quality. In that way, we evaluate the robustness of the method in order to make adequate to a clinical environment. Further efforts will be done to improve its performance.
提出了一种自动检测硬性渗出物的方法，硬性渗出物是一种与糖尿病视网膜病变相关的病变。该算法利用统计分类根据其颜色以及应用边缘检测器根据其锐利边缘来定位它们。在一个包含20张颜色、亮度和质量各异的视网膜图像的数据库中，获得了79.62%的灵敏度，平均每张图像有3个误报。通过这种方式，我们评估该方法的稳健性，以便使其适用于临床环境。将进一步努力提高其性能。
