35 results about "Shape alignment" patented technology

An alignment device (10) for a planar element (2) includes an imaging section (11) to image a picture of a non-rotational symmetry-shaped alignment mark M provided on the planar element (2), a position detection section (12) to detect a position of the alignment mark M from the image, a position adjustment section (13) to adjust a relative position of a specified reference position and the planar element (2) in accordance with a detected position of the alignment mark M, and an orientation detection section (14) to detect an orientation of the planar element (2) in accordance with the non-rotational symmetry of the alignment mark M imaged on a picture.

A method of forming a crystalline silicon layer that includes forming a semiconductor layer of amorphous silicon on a substrate having a first region and a second region at a periphery of the first region; forming at least one concave-shaped alignment key by irradiating a laser beam onto the semiconductor layer in the second region; and crystallizing the semiconductor layer in the first region using the at least one alignment key.

A hybrid optical device includes an optical bench chip, a laser chip with a laser waveguide flip-chip bonded onto the optical bench chip, and an optical waveguide chip with an optical device waveguide disposed adjacent the optical bench chip. The optical bench chip has multiple “U” shaped alignment optical waveguides and the optical waveguide chip has multiple alignment optical waveguides, and the pitches of the various sets of alignment waveguides are different. A misalignment between the laser waveguide and the optical bench chip is compensated for by aligning the optical waveguide chip to different positions of the optical bench chip using the multiple alignment optical waveguides on the optical bench chip and the optical waveguide chip, without turning on the laser, so that the laser waveguide of the laser chip is aligned with the optical device waveguide of the optical device chip.

The invention discloses a wire alignment device on textile equipment, which comprises a alignment base, a alignment bracket, an alignment plate and an alignment block. The upper middle part of the alignment base is fixedly welded with an alignment bracket. The top of the line support is fixedly welded with a alignment plate, and the upper surface of the alignment plate is provided with a strip-shaped groove, and two strip-shaped grooves are arranged in parallel, and a alignment block is movable in the strip-shaped groove , and each of the strip-shaped grooves is provided with a plurality of alignment blocks, the alignment blocks are arranged in pairs, and the alignment blocks are made of plastic materials, and one end of the strip-shaped groove is provided with a fixed block, The wire alignment device on the textile equipment can limit the alignment of the textile threads through the alignment plate and the alignment block, and can align multiple textile threads at one time.

An integrated circuit package is provided with an alignment mechanism by 1) heating a wetting media that has been applied to a number of annular ring shaped alignment pads provided on the integrated circuit package, at known locations with respect to a pattern of contacts pads that is provided on the integrated circuit package, and then 2) while the wetting media is heated, attaching a number of alignment balls or alignment bullets to the annular ring shaped alignment pads.

The invention discloses a semi-supervision classification method based on flow shape alignment. The semi-supervision classification method includes the steps of establishing class coordinates for training data of an auxiliary domain and a target domain based on known class information, obtaining the similarity between the training data in the target domain and test data and the similarity between the test data based on a target domain neighbor graph, calculating the similarity between the training data in the auxiliary domain and the test data in the target domain by discovering the relevance between the data of the auxiliary domain and the target domain, calculating the class coordinates of test data in the target domain based on a semi-supervision model, and obtaining the class information of the test data according to the class coordinates thereof. The method uses data with known classes in the auxiliary domain to classify data in the target domain, thereby improving classification precision in the target domain.

The present disclosure provides an image processing method, including: recognizing a source object in a source image, and determining, according to feature points of the source object, an orientation and a size of the source object; adjusting, according to matching relationships between the orientation and the size of the source object and the orientation and the size of the target object, the orientation and the size of the source object; adjusting a shape of the source object and a shape of the target object according to an average shape of the source object and an average shape of the target object; and fusing, in real time, the source image and the target image in a manner of aligning the shape of the source object with the shape of the target object.

The invention relates to a centering device for a valve side sleeve of a converter transformer. The centering device comprises a clamping device, the clamping device is connected with an adjusting device so as to adjust the top, the bottom, the left, the right, pitching and rotating positions of the sleeve, the clamping device comprises a bottom frame, the centering device comprises a first reference plate and a second reference plate, wherein the first reference plate and the second reference plate are fixedly arranged below the bottom frame from front to back, the centering device further comprises a visible light beam emitting device arranged below a wire unwinding sleeve, a through hole is formed in the center of the first reference plate, a cross-shaped alignment line is arranged in the center of the second reference plate, the through hole is formed in an extension line of a connection line of rotation centers of the pitching position and the rotation position of the sleeve, whena visible light beam emitted by the visible light beam emitting device penetrates through the through hole of the first reference plate to be aligned with the cross-shaped alignment line of the second reference plate, the sleeve and the wire unwinding sleeve are in a centered state. According to the centering device, centering of the sleeve and the wire unwinding sleeve is realized, and the alignment precision of the sleeve in the installation process is improved.

An electromechanical solenoid has a solenoid assembly including a solenoid coil with a coil aperture formed therein. A pole piece assembly is positioned at least partially within the coil aperture, the pole piece assembly including a first pole piece and a second pole piece positioned at least partially within an hour-glass shaped alignment member. The first pole piece has a first bore and a first outer tapered surface extending away from the first bore, and the second pole piece has a second bore and a second outer tapered surface extending away from the second bore. An armature is moveable within the first bore and the second bore in response to a magnetic field produced by the solenoid coil.

The invention discloses a geometric invariant object segmentation method based on sparse independent shape component representation. The method comprises the following steps of: firstly, carrying out log polar coordinate transformation on a training set; carrying out independent shape component extraction on a transformation result; on the basis of an independent shape component, constructing the first mapping convex shape set of an independent component space; on the basis of the extracted independent shape component, establishing a second mapping convex spare shape subset; on the basis of the first mapping convex shape set and the second mapping convex spare shape subset, constructing a sparse independent shape component representation model; combining with the above sparse representation model to construct an object segmentation model with a level set energy constraint item; adopting a gradient descent method and a soft threshold value method to solve a target function; and utilizing an evolution curve to realize image object segmentation. By use of the method, the problems of sensitive geometric deformation, poor shape representation ability and low segmentation accuracy of an existing object segmentation method based on sparse representation are overcome, and the problem that the sparse representation model has poor object segmentation ability under a situation of poor shape alignment or unknown deformation parameters can be solved.

Strip-shaped alignment marks 14 are juxtaposed with each other in a silicon oxide film 12 formed on a silicon wafer 10. Each alignment mark 14 comprises a plurality of grooves 16 formed side by side in the silicon oxide film 12. An amorphous silicon film 18 is buried in the grooves 16. Thus, the alignment marks 14 are formed in a thus-formed line-and-space pattern. Accordingly, waveforms of detected signals having high contrast and little deformation can be obtained, and alignment of wafers with high accuracy can be realized.