The invention discloses a malicious sample homology detection method based on an image feature descriptor. When the malicious sample homology detection method is used, malicious samples can be protected from confusion jamming, the homology of a malicious file can be quickly analyzed, and the method is high in efficiency, accuracy, robustness and expansibility. By use of the method, through a filevisualization algorithm, data preprocessing is carried out, the interference factors of a semantic level due to file decompiling or sand box operation are avoided, then, an image feature extraction technology is used in a homology analysis field to extract the feature descriptor of the malicious sample image, and a family feature description library is constructed by the image feature descriptor and is used for analyzing and comparing the homology of an unknown malicious program. The image feature descriptor obtained through the image feature extraction algorithm is high in robustness, and analysis efficiency and expansibility are high after the sample library is established.

Malicious sample homology detection method based on image feature descriptor

The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

System and method for splicing images

The invention discloses a method, equipment and a system for controlling photographing with a stylus. The method comprises the steps: a camera mounted on the stylus shoots an image according to operation; the stylus transmits the image shot by the camera to corresponding intelligent mobile equipment; the intelligent mobile equipment processes the image to obtain an objective image, and displays and/or stores the objective image. With the adoption of the technical scheme, quick, convenient, time-saving and accurate photographing can be performed on a specific object.

Method, equipment and system for controlling photographing with stylus

The present invention belongs to the technical field of image registration, and in particular relates to a method for optical and synthetic aperture radar image registration. In the invention, the registration is based on the use of line characteristics and the space constraint criterion; through the extraction of the corresponding line characteristics and the solution to the corresponding intersection points, the point characteristics can be obtained indirectly. The intersection points are subjected to characteristic vector description, and the initially matched point pairs are screened through the space constraint criterion to finally complete the image registration. Compared with the commonly used registration method, the image point pair registration rate is raised to some extent, which facilitates the subsequent image fusion.

Method for optical and synthetic aperture radar image registration

Provided is a matching pair determination method and image capturing method. The matching pair determination method comprises the steps of matching the characteristic points in a first image and a second image to generate an initial matched pair; calculating the gradient of the located line of the initial matched pair of the first image and the second image, taking the gradient of the located line of the initial matched pair as the horizontal coordinate, and the number of the initial matched pair corresponding to the gradient as the vertical coordinate, to generate a gradient histogram; determining the initial matched pair of the cluster where the sum of the initial matched pair number is the largest in the gradient histogram as the matched pair. The technical scheme of the matched pair determination is simple in method, small in computation amount and can obtain high precision matched pairs, the scheme further bases on the matched pairs to conduct image stitching, the stitching precision of the stitched image is high, and accords to the practical requirements of clinics.

Matching pair determination method and image capturing method

The invention provides an image registration method based on parallel line matching. The method comprises the steps that feature points of two adjacent frames of images are obtained with an optimization dimension invariant feature transformation algorithm; the feature points in the two adjacent frames of images are matched with a parallel line method, and feature point matching errors are eliminated; the relative movement of the matched feature points is calculated, and a global movement parameter is obtained. According to the image registration method based on parallel line matching, the feature points of the two adjacent frames of images are obtained with the optimization dimension invariant feature transformation algorithm, and the speed of recognizing a target image is increased; the feature points in the two adjacent frames of images are matched with the parallel line method, the feature point matching errors are eliminated, and thus the accuracy of recognition of the target image is improved.

Image registration method based on parallel line matching

The present invention provides a video image rapid compression system and method. The system comprises a signal conversion unit, a control unit, a coding unit, a memory unit and an upper computer; the signal conversion unit converts an original image to a single-end image signal and sends the single-end image signal to the control unit; the control unit converts the single-end image signal to a RAW-format signal and sends the RAW-format signal to the coding unit; the coding unit encodes the RAW-format signal to generate a compression image signal and send the compression image signal to the control unit; the control unit receives the compression image signal and writes the compression image signal into the memory unit; and the upper computer accesses the memory unit to obtain the compression image signal. The video image rapid compression system and method are able to realize real-time acquisition of large-resolution video image, perform compression with high speed, high compression ratio and high resolution of a video image through adoption of the correlation and statistics characteristics of the image, and rapidly transmit the compression image to the upper computer and an external network.

Video image rapid compression system and method

The invention discloses a real-time video analysis system which comprises an input unit, a control unit, an image processing unit and a preprocessing unit. The input unit receives an original image signal, sends an original image signal after conversion to the preprocessing unit, and sends the original image signal to the output unit; the preprocessing unit converts the format of the signal sent from the input unit according to an image processing instruction from the control unit, sends the signal after format conversion to the image processing unit; and forwards the signal sent from the image processing unit to the output unit; the image processing unit carries out defrogging, enhancement and image stabilizing on the signal sent from the preprocessing unit according to an instruction sent from the control unit, and sends the processed signal to the preprocessing unit; and the output unit displays the original image signal and the signal forwarded by the preprocessing unit simultaneously. The real-time video analysis system can filter interference and useless information in video frames, obtains images and videos of optimal effects, and realizes high-quality real-time video processing.

Real-time video analysis system

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Image registration method based on parallel line matching

Video image rapid compression system and method

Real-time video analysis system