50 results about "Gaussian image" patented technology

An improved method of PTAM based on the ground features of intelligent robots. First, parameter correction is completed, which includes parameter definition and camera correction; The feature information in the current image establishes the data association between the corner features to obtain the pose estimation model; in the initial drawing stage of the map, two key frames are obtained to set up the camera on the mobile robot; during the initialization process, the mobile robot starts Move, and at the same time, the camera captures the information of the corner points in the current scene and establishes an association; after the initialization of the 3D sparse map, update the key frame and use the epipolar search and block matching method to establish the sub-pixel precision mapping relationship of the feature points, combined with the pose estimation model to achieve Camera precise repositioning. Finally, the matching points are projected into the space to complete the creation of the 3D map of the current global environment.

The invention discloses a fast matching calculation method for fruit images. The fast matching of fruit images is realized through the extraction of effective matching areas and the improvement of SIFT method. Firstly, the side images of fruits are obtained, and the left and right boundary points of fruit contours are searched in the side images, and then the effective areas required for matching are extracted; then the effective areas are Feature point extraction: get the feature point set with feature point descriptors; then match the feature points by calculating the Euclidean distance between the feature point descriptors in the two feature point sets, and get the matching point set to be selected. The matching points are eliminated to obtain the correct matching point set. The present invention replaces the structure of the scale space in the SIFT method with a single-layer Gaussian difference image and cancels the rotation invariance, and reduces the dimensionality of the feature point descriptor, reducing redundant calculations in the fruit image feature point detection process; through the effective overlapping area Extraction removes unnecessary calculations and improves the calculation speed.

A camera image cleaning system of an automobile vehicle includes a camera generating a camera image of a vehicle environment. A processor having a memory executes a control logic to convert the camera image into a grayscale image having multiple image pixels. A convolution equation is retrieved from the memory and is solved to find derivations of the grayscale image defining changes of pixel intensity between consecutive or neighbor ones of the multiple image pixels of the grayscale image. A magnitude and an orientation of the multiple pixels is computed by the processor and used to differentiate weak ones of the image pixels from strong ones of the image pixels.

The invention discloses an image processing method for chest X-ray DR (digital radiography) image rib inhibition. The method comprises the following steps: acquiring a chest X-ray DR image; performing pyramid decomposition on the DR image, performing a down sampling process to obtain a Gaussian image pyramid S, and performing an up sampling process to obtain a Laplacian image pyramid difference chart D(S); taking the minimum S as a current to-be-processed image I; performing filtering processing on the image I by using an adjustable Gabor filter bank so as to obtain a reconstructed image R; differencing the to-be-processed image I and the reconstructed image R to obtain a processing result image E with weakened segment-shaped textures under the scale; and doubling the processing result image E, adding the processing result image E and a corresponding Laplacian image pyramid difference chart D(S) under the size together, and repeating the processing procedure until the size is the same as that of an original DR image, thereby obtaining an image after rib inhibition. According to the method disclosed by the invention, the visual saliency of pulmonary shadows is improved, the workload of doctors is reduced, automatic processing can be realized, and an analysis conclusion is more objective and stable.