基于数字图像处理的皮肤病识别APP

Skin Disease Recognition APP Based on Digital Image Processing

随着科技的进步,生活节奏的加快,环境污染的加重,皮肤病成为一种高发性疾病,针对此现状,设计一款关于现代常见皮肤病防治的手机应用软件,通过空间域滤波器、灰度拉伸以及直方图均匀化进行图像预处理,将图像相似的灰度值调整一致,便于图像分割与特征提取。将处理完的图像与数据库中的病样进行对比得出结果,最后系统给出患者相对应的治疗方案。

With the advancement of science and technology,the acceleration of the pace of life,and the increase in environmental pollution,skin diseases have become a high-frequency disease.In response to this situation,a mobile phone application software for the prevention and treatment of modern common skin diseases is designed.Image pre-processing is performed through spatial domain filters,gray scale stretching,and histogram homogenization.The gray values of similar images are adjusted uniformly to facilitate image segmentation and feature extraction.The processed images are compared with the disease samples in the database to obtain the results.Finally,the system provides a corresponding treatment plan for the patient.