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2 results about "Prewitt operator" patented technology
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The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the image, the result of the Prewitt operator is either the corresponding gradient vector or the norm of this vector. The Prewitt operator is based on convolving the image with a small, separable, and integer valued filter in horizontal and vertical directions and is therefore relatively inexpensive in terms of computations like Sobel and Kayyali operators. On the other hand, the gradient approximation which it produces is relatively crude, in particular for high frequency variations in the image. The Prewitt operator was developed by Judith M. S. Prewitt.
A method for detecting defects in a magnetic flux leakage image of a steel wire rope under distortion noise
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.
Owner:青岛明思为科技有限公司
Image retrieval method based on depth edge information
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.
Owner:GUANGXI NORMAL UNIV