4results about How to "Uniform image quality" patented technology

The invention discloses a range gating imaging system based on pulse phase shift. Comprising a digital control unit used for generating M laser pulse signals and shutter control signals, M laser driving modules, M groups of laser diodes, and an optical fiber beam combiner used for combining laser output by each group of laser diodes, the imaging unit receives a shutter control signal and comprises an image intensifier and a driving module thereof, and the image intensifier and the driving module are used for performing gating imaging on a target under the control of the shutter control signal; wherein M is greater than or equal to 2, repetition frequencies of the laser pulse signals are the same, but phases have difference values; each laser driving module is connected with a laser pulse signal output end of the digital control unit; and each group of laser diodes is connected with one laser driving module, and each group of laser diodes outputs laser under the driving of corresponding laser pulse signals.

The utility model relates to a receiving lens applied to a laser radar and a camera device, the receiving lens applied to the laser radar comprises a first lens, a second lens, a diaphragm, a third lens and a fourth lens which are sequentially arranged from an object side to an image side, and the first lens and the third lens respectively have negative diopters. The second lens and the fourth lens respectively have positive diopter; the first lens and the second lens are respectively configured to be spherical lenses, and the third lens and the fourth lens are respectively configured to be aspheric lenses. According to the receiving lens applied to the laser radar, the focal length is 14.7 mm, the maximum target surface size can reach 6.8 mm, the maximum chief ray angle is smaller than 1 degree, the absolute value of optical distortion is smaller than 2%, and the relative distortion error with a transmitting lens is smaller than 0.3%.

The present invention relates to a zoom lens with a constant large aperture, comprising: a first lens group with positive focal power, a second lens group with negative focal power, an aperture, a third lens group with positive focal power, and a fourth lens group with positive focal power, which are arranged in sequence from the object side to the image side; the first lens group and the third lens group are fixed groups, the second lens group moves along the optical axis from the object side to the image side to perform a zoom from a wide-angle end to a telephoto end, and the fourth lens group moves along the optical axis to correct the image plane position during the zoom process; the first lens group and the second lens group satisfy: 2.0≤(d 12t ‑d 12w ) / fw≤4.0, where d 12t is the distance from the image side of the last lens of the first lens group to the object side of the first lens of the second lens group when the zoom lens is at the telephoto end; d 12w f is the distance from the image side of the last lens of the first lens group to the object side of the first lens of the second lens group when the zoom lens is at the wide-angle end; W This is the focal length at the wide-angle end.

The present application relates to pipeline nondestructive testing image recognition technical field, specifically to pipeline internal defect intelligent detection method based on image recognition, including: through endoscopic equipment gathers pipeline internal surface annular scanning image sequence, obtains the feature map set containing potential defect area through image preprocessing and multilevel feature extraction;Defect candidate region is generated by using improved attention guide network to complete feature fusion and defect candidate region focusing processing, and the weighted feature expression of the candidate region is generated;Through defect morphology analysis and classification discrimination, output defect category label and morphology parameter, and generate comprehensive defect evaluation report combined with pipeline structure information.The method is suitable for pipeline annular structure to realize global continuous acquisition, eliminate detection blind area, strengthen defect features through attention weighting, suppress redundant background interference, improve defect positioning accuracy and classification accuracy, and guarantee the integrity, accuracy and reliability of pipeline internal defect detection.