53results about How to "Speed up splitting" patented technology

The invention discloses an image segmentation method which fuses global and local information level sets. The method provides a segmentation model, comprising a global item, a local item and a modified item. The global term is based on the classical CV model. The local term is based on the piecewise constant assumption. For each point in the region, the kernel function of the mean gray value of the point region and the gray value of other points in the neighborhood is used to define the local term. In the dynamic adjustment process, the model weakens the global term CV model based on the assumption that the gray level is uniform, but also weakens the weak ability of the local term to weak edge recognition. Modifications consist of smoothing constraints and penalties to avoid reinitialization and reduce computational time. The level set method can describe the evolution of curves implicitly on Cartesian mesh, avoid the problem that many curves can not be described by parametric description curves, and at the same time, it is easy to calculate the geometrical features of closed contours, such as curvature, unit normal vectors and so on.

The invention provides a method used for analyzing the porous asphalt mixture void structure by adopting a CT technique, comprising the steps of: preparing porous asphalt mixture specimens, scanning the porous asphalt mixture specimen by an X-ray CT machine, reinforcing and cutting CT images, extracting void characteristic, calculating the characteristic parameter of the void structure, analyzingvoid plane information, analyzing void space information and memorizing the analysis result. The method adopts the CT scanning technique, can exactly and quickly obtain the digital images of the porous asphalt mixture, reinforces and cuts the images, extracts the corresponding characteristic parameters of the void, carries out the quantitative description on the structural characteristic of the void by a fractal theory by virtue of the parameters, comprehensively reflects the void structure information, and avoids the effects of all characteristics of the porous asphalt mixture on the void evaluation. The parameters lays the foundation for further researching the effect rule of the void structure on the splitting tensile strength and the permeability of the porous asphalt mixture and for researching the void decay behavior of the porous asphalt mixture.

The invention discloses a machine vision-based robot disorderly grasping method and system. By building the grasping system of kinect camera and robot, using the kinect camera to collect image data on the surface of the target object, and preprocessing the image data to obtain three-dimensional point cloud data; Detection, target segmentation, target clustering, key point feature extraction, feature registration, identifying target objects, and obtaining the pose information of the target object; according to the calibration results of the hand-eye system, the coordinate transformation of the pose information is carried out to The robot sends out control instructions to realize the grasping of the target object. By analyzing the lack of algorithms in the robot's disorderly grasping process, and by improving the existing algorithms to adapt to the complex environment in which the robot is located, the accuracy of the robot's disorderly grasping and the flexibility of the robot are improved.