Edge detection can greatly reduce the amount of data of the original image, eliminate many meaningless information, and retain the important structural attributes of the image. It is an important basis in the field of image analysis, such as image segmentation, region shape extraction, target detection and so on. It is also an important attribute of feature extraction in image recognition. Image edge detection based on Riesz transform is a new method of image edge detection, which has the characteristics of multi-resolution and multi-scale. In order to solve the problem of poor detection performance of traditional medical images under illumination changes, this paper proposes a medical ultrasound image information extraction model based on Riesz transform. In this paper, Riesz transform is used to replace the traditional Hilbert transform to process the image. The model uses different scale factors of Riesz transform to construct a transform space specially used to calculate phase consistency, and successfully obtains the feature image. The non-maximum suppression technique is used to detect the edge information of the image. The experimental results show that the model can effectively and quickly identify and retain the edge features in the image while suppressing the non-edge region response under uneven illumination.