33results about How to "Suppress computation" patented technology

An image processing method correcting a defective portion in color image data having a plurality of color components. The method includes the steps of adjusting luminance of each defective pixel; selecting a plurality of normal pixels from around a target pixel which is selected from a plurality of defective pixels; obtaining for each color component, a difference between a pixel value of the target pixel whose luminance has been adjusted by the luminance adjusting unit and a corresponding pixel value of each normal pixel selected; obtaining a minimum value of the differences for the respective color components of each normal pixel, thereby to obtain a weight coefficient common to the respective color components for each normal pixel, the smaller the minimum value, the greater a weight being provided by the coefficient; calculating a weighted average value for each color component of the plurality of normal pixels by using the weight coefficient; and correcting the target pixel by using the weighted average value for each color component.

The invention discloses a power transformer winding fault diagnosis method based on a GSMallat-NIN-CNN network, and the method comprises the steps: carrying out the measurement of a vibration condition of a transformer winding through a multi-channel sensor, and obtaining multi-source vibration data of a transformer; converting the multi-source vibration data obtained by measurement into grayscaleimages by using GST gray level transformation; decomposing each grayscale image into a high-frequency component sub-image and a low-frequency component sub-image layer by layer by adopting a Mallat algorithm, and performing image fusion on a high-frequency component sub-image and a low-frequency component sub-image; reconstructing the fused grayscale images, and encoding the vibration grayscale images according to the fault state of the transformer winding; establishing a transformer fault diagnosis model based on a GSMallat-NIN-CNN network; randomly initializing network parameters, dividinga training set and a test set, and training and optimizing the network through the training set; and storing the trained network, and testing the network through the test set. According to the method,t noise in a multi-source signal is effectively suppressed, the integrity of feature information is improved, the calculated amount is reduced, and the fault diagnosis accuracy is improved.

A classification result is stored in advance. At the time of identification, classification is performed at a high speed based on the stored classification result. In pre-classification, classification is performed divisionally in two stages. In the first classification, a plurality of representative vectors are generated from the classification result using a fast executable method. In the second classification, the created representative vectors are classified, and the result is stored in a lookup table. When an identification target image is input, the classification result can be reflected at a high speed by using the lookup table.

One target pixel is selected from a plurality of defective pixels. By adjusting a searching interval based on the number of pixels included in image data to be processed, one or more normal pixels are searched and detected on each of opposed sides across the target pixel along each search line. By using pixel values of the detected normal pixels, an interpolation value for the target pixel for each search line is calculated. And, by using pixel values of the normal pixels detected along the search line, a weight coefficient is calculated for each search line. Then, by using the interpolation value for the target pixel for each search line and the weight coefficient, a weighted average value of the interpolation value is calculated to be used in correction of the target pixel.

For correcting a defective portion in image data having a plurality of pixels, a plurality of first target pixels are selected one after another from normal pixels. Any defective pixel is detected within a predetermined area extending about each selected first target pixel as its center and also a normal pixel present on an extension line connecting the first target pixel and the defective pixel is detected and set as a second target pixel. For each defective pixel present between the first target pixel and the second target pixel, an interpolation value is calculated. Further, for each pair of the first target pixel and the second target pixel, a weight coefficient is calculated. The technique stores such plurality of interpolation values and weight coefficients. Then, by using the weight coefficient, a weighted average value of the interpolation values for each defective pixel is calculated and this weighted average value is used for the correction of each defective pixel.

Systems and methods for establishing a secure connection are described. A server receives a plurality of routing tokens for establishing a service connection between a service node and the server along a network path through a plurality of network devices. The routing tokens can be validated by a corresponding network device. The server transmits a packet including the routing tokens to a first network device. The first network device validates a first routing token associated therewith, then directs the packet along the network path to a second network device, and so forth, until each of the network device receives and validates their routing token. The server establishes a cryptographic context between the service node and server for establishing a secure channel between the service node and the server. The server transmits a service node routing token to the service node via the secure channel for validation.

An ultrasound diagnostic apparatus performs transmission and reception of ultrasonic waves for forming focal points used to set sound velocities at predetermined timing such that sound velocities having been set for all of respective segment regions established by dividing a subject are all reset every predetermined number of frames. Owing to this configuration, it becomes possible for the ultrasound diagnostic apparatus to suitably reset sound velocities of ultrasonic waves in the subject and also reduce the amount of calculation for resetting sound velocities.

A transcoder device includes means for receiving encoding information transmitted from a motion-picture encoding and transmitting device and decoding information transmitted from a motion-picture receiving and decoding device, referring to the encoding information and the decoding information to determine whether the syntax in a video packet transmitted from the motion-picture encoding and transmitting device is transcoded, and outputting transcoding control information, and means for transcoding an encoded bitstream that is input in the syntax level on the basis of the transcoding control information and transmitting the transcoded encoded bitstream to the motion-picture receiving and decoding device.

In a coding apparatus for performing motion-compensated coding, N (M>N≧2)-arized images are converted from a coding target image and reference image as M-arized images, and a motion search is conducted using the N-arized images. During this process, the coding apparatus applies low-pass filter processing to the coding target image and the reference image before conversion of the N-arized images.

Reception beamforming is executed using delay times that complexly vary in accordance with differences between transmission conditions. An irradiation area 32 of a transmission beam is calculated, and the lengths of segments, using which delay times are calculated, are set in accordance with the positional relationships between the calculated irradiation area 32 and reception scanning lines 31. For example, the reception scanning lines 31 are divided into areas A to C, and the lengths of segments 40b in the outer area B located outside of the irradiation area 32 are set shorter than the lengths of segments 40a and 40c in the inner areas A and C.

The distance information processing device (100) generates image data in which the two-dimensional coordinates of each point and the depth of each point are associated based on three-dimensional point cloud data representing three-dimensional coordinates of each point on a three-dimensional object. The distance information processing device (100) determines a point of three-dimensional point cloud data corresponding to an outline pixel included in an outline part of the image data as a focus point, and determines a point of three-dimensional point cloud data corresponding to a pixel around the outline pixel for the surrounding points. A distance information processing device (100) deletes a point of interest based on the number of surrounding points whose distance from the point of interest is less than a predetermined distance.

The invention relates to an automatic detection method for traffic accidents based on collision sound. The collected sound signals are divided into frames, and the total energy distribution in the time domain is detected first. Processing of one frame; next, judge the energy distribution in the frequency domain, use wavelet to extract the characteristic components of the energy distribution and judge, if the collision condition is met, further recognition will be carried out, otherwise, it will directly jump out and wait for the processing of the next frame; finally, perform ACF detection , if the condition of collision is met, it is judged as a collision sound, otherwise, it waits for the processing of the next frame. The invention can suppress the calculation amount to the minimum while improving the detection accuracy rate and reducing the false alarm rate.