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1015 results about "Split lines" patented technology

Split Lines. The Split Line tool projects an entity (sketch, solid, surface, face, plane, or surface spline) to surfaces, or curved or planar faces. It divides a selected face into multiple separate faces.

Brittle workpiece splitting system and brittle workpiece splitting method

The brittle workpiece splitting system 1 includes a substrate holding mechanism 10 for holding a substrate 51, and a processing unit 5 for splitting the substrate 51 held by the substrate holding mechanism 10 by a splitting process. The substrate holding mechanism 10 has an edge damper 12 adapted to clamp an edge part of the substrate 51 from the sides of the opposite surfaces of the edge part, and support members 19 for supporting the substrate 51 thereon at a predetermined height. The support members 19 are disposed on the side opposite the side of the edge damper 12 with respect to the intended split line 61 parallel to the edge part of the substrate 51. The edge damper 12 has an edge holder 15 on which the substrate 51 is seated, and a pressure bar 14 for pressing the substrate 51 against the edge holder 15 to hold the substrate 51 between the edge holder 15 and the pressure bar 14. Resin members 14a and 15a made of an elastic material having comparatively high rigidity are attached to parts, to be brought into contact with the substrate 51, of the pressure bar 14 and the edge holder 15, respectively. The support members 19 are made of a low-friction material to permit the horizontal movement of the substrate 51 during the splitting process.
Owner:SHIBAURA MECHATRONICS CORP +1

Image type automatic analysis method for mesh adhesion rice corn

InactiveCN101281112AOvercoming problems that are difficult to analyze automaticallyRemove the restriction of non-stick placementImage analysisMaterial analysis by optical meansAutomatic segmentationSplit lines
The invention discloses an image automatic analysis method for reticulate adhesion rice. The method firstly images rice under the grade of a reference backlight, and enables the reticulate adhesion rice to belong to the different local regions separately through an automatic segmentation. Secondly, the automatic segmentation includes that fat circular rice is carried on a distance transformation and a watershed transformation to be divided, as well as to use a circular template to get the concave angle point of long rice after the long rice is carried out watershed transformation, and the separation line can be determined and the wrong separation line can be removed according to the concave angle point. Different colors is using to color complete polished rice, broken rice and the rice whose length is in the critical region and to color background and chalkiness so as to figure out the grain number, the length, the width and the length to width ratio of each grain, finally, and the entire polished rice rate, the broken rice rate, the chalkiness degree and the chalkiness grain rate, and to form an analysis report. The invention overcomes the problem that the reticulate adhesion rice is difficult to be carried on automated analysis, and removes the limit of the request analysis sample is not in adhesion placing.
Owner:ZHEJIANG SCI-TECH UNIV

Circular masking-out area rate determination-based adhesive particle image concave point segmentation method

The present invention relates to a circular masking-out area rate determination-based adhesive particle image concave point segmentation method. The method comprises the following steps of 1) carrying out the image pre-processing to obtain a binary image of a particle image; 2) carrying out the concave point rough detection to obtain an angular point image of the particle image; 3) carrying out the concave point accurate detection, and utilizing an area rate method to obtain all concave points capable of being used for the particle segmentation in a regional contour; 4) carrying out the concave point pairing, wherein the selected concave point pairs are used as the segmentation points of an adhesive particle image; 5) constructing a segmentation line of the particles, obtaining the contour coordinates of individual particles, and combining the coordinates of two segmentation points to obtain the complete particle contour. According to the present invention, by combining an angular point detection method and a method based on concave point analysis, an operand problem brought by purely utilizing the concave point search based on area is avoided; by setting few parameters, a lot of sample training is not needed; at the same time, the segmentation paths can be replanned, thereby being able to adapt to the different shape and size change of the images.
Owner:WEIFANG UNIVERSITY

Method for cutting portable data file (PDF) 417 standard two-dimensional bar code image

The invention discloses a method for cutting a portable data file (PDF) 417 standard two-dimensional bar code image based on a projection mode by using image profile information. The method comprises the following steps of: inputting the normal PDF417 standard two-dimensional bar code image, carrying out grey processing, and binarizing a grey image by using a self-adaptive global threshold value to obtain a two-dimensional code binary image; cutting two-dimensional code areas of the processed image to obtain the image which only has the code areas; identifying the obtained two-dimensional code image, detecting coordinates of partition lines of each row, and calculating row height; detecting whether the two-dimensional code image is inversed, cutting each code word image sequentially from top to bottom and from right to left according to the detected coordinates of the partition lines of the row, the row height, the coordinates of the partition lines of a line, and line width; and identifying code words from right to left reversely, and converting the code words into corresponding code word sequences. By the method, each code word can be cut accurately in the situation that the image is partially contaminated, lost or even inclined slightly at an angle of less than 0.1 degree. The method is high in robustness and high in reliability.
Owner:MAOMING POLYTECHNIC
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