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Lesion Area Detection (LAD) using Superpixel Segmentation

机译:使用超像素分割的病变区域检测(LAD)

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Nowadays, in biomedical field, imaging techniques are used to discover the abnormalities in the particular region. Lesion is an area in an organ or tissue, which has suffered from damage through injury or disease, such as a wound, ulcer, abscess, or tumor. Lesion area of the tissue is detected using source images. Wireless capsule endoscopy image of the gastrointestinal tract is used to find the lesion. Preprocessing of image is done using denoising by multidimensional filter. Denoised image is edge detected during which the edge points in an image differentiation is highlighted by Sobel edge detection. The value of each pixel in the edge detected image is evaluated based on the comparison of corresponding pixel in the input image with its neighboring pixels by the morphological operation. Erosion and dilation operation erodes and adds pixels respectively to the edge detected image, so that the value of the output pixel has the maximum pixel value. During segmentation, the pixels are grouped using superpixel algorithm to reduce the complexity while maintaining high diagnostic accuracy. As a final point, the Correlation coefficient test finds the spoiled area between healthy tissue and abnormal tissue by color encoding. This intends to identify the suspected abnormal areas (lesion) from the source images.
机译:如今,在生物医学领域,成像技术被用于发现特定区域的异常。病变是器官或组织中因受伤或疾病(例如伤口,溃疡,脓肿或肿瘤)而受损的区域。使用源图像检测组织的病变区域。胃肠道的无线胶囊内窥镜检查图像用于查找病变。图像的预处理是通过多维滤波器使用降噪来完成的。去噪的图像被边缘检测,在此期间,通过Sobel边缘检测突出显示图像差异中的边缘点。边缘检测图像中的每个像素的值基于输入图像中相应像素与其相邻像素之间的比较,通过形态运算进行评估。侵蚀和扩张操作侵蚀像素并将像素分别添加到边缘检测图像,以使输出像素的值具有最大像素值。在分割期间,使用超像素算法对像素进行分组,以降低复杂度,同时保持较高的诊断精度。最后,相关系数测试通过颜色编码找到了健康组织和异常组织之间的变质区域。这旨在从源图像中识别出可疑的异常区域(病变)。

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