3 results about "Prewitt operator" patented technology

The application discloses a kind of steel wire rope magnetic flux leakage image defect detection methods under distortion noise, first acquisition magnetic flux leakage signal, then through detrending and spline difference mode are preprocessed and the image after pre-processing is blocked;Next, each image block is classified, and the template response image block of each image block is constructed using Prewitt operator;After power law transformation is carried out to the template response image block, the envelope image is obtained by taking envelope;Finally, the defect positioning operation is realized on the envelope image by binary threshold method.

The invention discloses a bone development image enhancement method and device, equipment, a medium and a product, and relates to the field of image enhancement, and the method comprises the steps: applying a self-adaptive Prewitt operator and a self-adaptive Laplacian operator to a bone development image, and generating a first bone development image and a second bone development image; performing multi-scale processing on the bone development image, and applying a Sobel operator to the multi-scale bone development image to generate a third bone development image; fusing the three bone imaging images to generate a fused bone imaging image, performing CLAHE processing, and determining an equalized bone imaging image; performing non-local mean filtering on the equalized bone imaging image, determining a bone imaging image after non-local mean filtering, performing preprocessing, and determining a preprocessed bone imaging image; and performing connected domain analysis on the preprocessed bone development image, and determining the enhanced bone development image, thereby avoiding excessive enhancement and artifact generation of an area with overlarge pixel difference, inhibiting noise interference, and improving an image enhancement effect.

The invention discloses an image retrieval method based on depth edge information, which comprises the following steps: firstly, extracting depth features of an image from a deep neural network, and constructing a target information feature map through color information and spatial information of the image; secondly, extracting a horizontal edge graph and a vertical edge graph from the target information feature graph and the depth feature graph by using a Prewitt operator to construct an edge information weight and an edge information feature graph; then, weighting the edge information feature map by using an edge information weight, and obtaining a spatial aggregation feature vector through spatial aggregation; and calculating a channel difference weight value according to the edge information feature map and the spatial aggregation feature value, and weighting the spatial aggregation feature vector by using the channel difference weight to obtain a final feature vector. And principal component analysis and feature dimension compression are carried out on the final feature vector to obtain the final representation of the image. And performing similarity calculation by utilizing the final representation of the image during retrieval to obtain a retrieval result. According to the method, the image retrieval performance of the depth features can be improved.