36results about How to "Accurate quality evaluation" patented technology

The invention relates to a virtual viewpoint video quality evaluation method. According to the invention, time domain blink distortion of virtual viewpoint video is calculated by taking all pixels in a space-time domain unit as a unit, so that erroneous estimation which is brought about by a pixel-to-pixel time domain blink distortion calculation mode for virtual viewpoint video human eye perception distortion is avoided. The virtual viewpoint video quality evaluation method not only considers distortion brought about by a depth image error but also considers distortion introduced by left and right viewpoint texture images when performing calculation on the time domain blink distortion of the virtual viewpoint video. The virtual viewpoint video quality evaluation method can effectively evaluate the time domain blink distortion which imposes great influences on the subjective quality in the virtual viewpoint video, thereby more conforming to a result of human eye subjective perception when the virtual viewpoint video quality is evaluated, and enabling virtual viewpoint video quality evaluation to be more accurate and more comprehensive.

The invention discloses a stereo image quality evaluation method through parallax compensation and inter-viewpoint filtering. A high-frequency image and a low-frequency image are obtained by performing parallax compensation and inter-viewpoint filtering on left and right viewpoint images of a stereo image, description of the stereo perception characteristics of the stereo image is completed in the frequency domain, and the quality of the stereo image can be more accurately evaluated; two-dimensional wavelet transformation is performed on the low-frequency image, an approximation coefficient matrix, a horizontal detail coefficient matrix, a vertical detail coefficient matrix and a diagonal detail coefficient matrix are extracted to acquire a part of characteristics, and the characteristics can effectively enhance accuracy of quality evaluation of the distorted stereo image; and the mapping relationship between the characteristic vector of the stereo image and the subjective image quality is constructed by utilizing a support vector regression method so that complex simulation of a human visual system working mechanism can be avoided, excessive dependence on the training process can also be avoided and thus the correlation between the subjective quality and the objective prediction quality can be enhanced.

The invention provides a method for detecting volatile components in Artemisia argyl oil, and application thereof, and relates to the technical field of volatile component detection. The detection method is used for detecting the the volatile components in the Artemisia argyl oil through a gas chromatography-mass spectrometry detection technology. A spectrum library retrieval technology is used for carrying out retrieval qualitation on a chromatographic mass spectrogram in a full-scanning Scan mode to obtain qualitative data of all volatile components; and meanwhile, the peak area of the chromatographic mass spectrogram of the main volatile substances is analyzed in the SIM mode by using a segmented scanning technology, and the content of each main volatile substance is further calculatedby using an external standard method. The method has the characteristics of simplicity, accuracy, specificity and high practicability.

The invention discloses a video quality evaluation method and device, and the method comprises the steps: dividing to-be-evaluated video data into a plurality of video segments based on a preset sampling interval, and determining the feature points of each frame of image in each video segment; and each video segment, performing feature point matching according to feature points in the frame of image and an adjacent frame of image, and determining the motion intensity of the frame of image according to the position information of each matched feature point in the two frames of images, so that the key frame is determined according to the motion intensity of each frame of image; and finally, according to the quality score of each key frame, determining the quality score of the video data, and performing video display according to the quality score. Through the position information of the matched feature points in each two adjacent frames of images, the motion intensity of each frame of image is determined, and based on the motion intensity of each frame of image, the key frame selection quality is improved, so that the video quality evaluation is more accurate.

The invention discloses a quality detection method of Dendrobium denneanum Kerr. The quality detection method comprises: 1) sequencing by using ITS-26SE and ITS-17SE as primers to identify the varietyof a to-be-detected Dendrobium herb; 2) carrying out chromatographic detection on n samples to obtain detection data using a chemical small molecule component schaftoside and/or naringenin as a reference component; 3) respectively carrying out fingerprint detection on the samples to obtain the fingerprint peak area value of the full chemical components of Dendrobium denneanum Kerr; and 4) establishing an analysis model by using the content value of the schaftoside and/or naringenin in the chromatographic data as the response variable and using the peak area value of other components in the fingerprint as the independent variable, screening the variable through a Lasso method, and establishing the characteristic fingerprint model related to the chemical small molecule component. Accordingto the present invention, through the first-generation sequencing and the characteristic fingerprinting, the quality of Dendrobium denneanum Kerr is precisely identified and controlled.

The invention discloses a quality detection method of Dendrobium catenatum Lindley. The quality detection method comprises: 1) sequencing by using ITS-26SE and ITS-17SE as primers to identify the variety of a to-be-detected Dendrobium herb; 2) carrying out chromatographic detection on n samples to obtain detection data using a chemical small molecule component schaftoside and/or naringenin as a reference component; 3) respectively carrying out fingerprint detection on the samples to obtain the fingerprint peak area value of the full chemical components of Dendrobium catenatum Lindley; and 4) establishing an analysis model by using the content value of the schaftoside and/or naringenin in the chromatographic data as the response variable and using the peak area value of other components inthe fingerprint as the independent variable, screening the variable through a Lasso method, and establishing the fingerprint model related to the chemical small molecule component. According to the present invention, through the first-generation sequencing and the characteristic fingerprinting, the quality of Dendrobium catenatum Lindley is precisely identified and controlled.

The invention discloses a quality detecting method of Dendrobium aphyllum. The quality detection method comprises: 1) sequencing by using ITS-26SE and ITS-17SE as primers to identify the variety of ato-be-detected Dendrobium herb; 2) carrying out chromatographic detection on n samples to obtain detection data using a chemical small molecule component schaftoside and/or naringenin as a reference component; 3) respectively carrying out fingerprint detection on the samples to obtain the fingerprint peak area value of the full chemical components of Dendrobium aphyllum; and 4) establishing an analysis model by using the content value of the schaftoside and/or naringenin in the chromatographic data as the response variable and using the peak area value of other components in the fingerprint asthe independent variable, screening the variable through a Lasso method, and establishing the characteristic fingerprint model related to the chemical small molecule component. According to the present invention, through the first-generation sequencing and the characteristic fingerprinting, the quality of Dendrobium aphyllum is precisely identified and controlled.

The invention relates to a mobile inspection video quality correction method based on saliency multi-feature fusion, belongs to the technical field of video quality correction, and solves the problemthat effective quality evaluation and correction cannot be carried out on a mobile inspection video in the prior art. The method comprises the following steps: partitioning any static image comprisinga to-be-detected object in a mobile inspection video, and determining all macro blocks comprising identification characteristics of the to-be-detected object and significance factors of the macro blocks; traversing other images in the mobile inspection video by using each macro block to obtain an image block most similar to the macro block in each frame of image so as to obtain a motion vector ofeach macro block and a significance matrix of each frame of image; determining a block effect characteristic value, a fuzzy effect characteristic value and an information entropy characteristic valueof the mobile inspection video according to the obtained significance matrix; and establishing a video quality evaluation model, judging whether the video quality is qualified or not, and if not, correcting camera parameters until the video quality is qualified.

The invention discloses a special malt quality evaluation method, which comprises the steps of: S1, physical and chemical index analysis; S2, flavor substance analysis; S3, sensory evaluation; S4, flavor wheel drawing; S5, and comprehensive analysis of conclusions obtained in the above steps, and finally determination of a variety of special malt. The special malt quality evaluation method effectively solves the problems that no unified standard exists in the special malt industry in China at present, product positioning is not clear and the quality is uneven, and can evaluate the quality of the special malt truly and precisely.

The invention discloses a map detection method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining vehicle scene data of a real path corresponding to each map path in a to-be-detected map; wherein the vehicle scene data comprises sensing data acquired by at least one sensor installed on a real vehicle in the driving process of the real vehicle along the real path, and positioning truth value data of the real vehicle in the driving process; indicating a virtual vehicle to drive along a virtual path corresponding to the real path in a pre-established simulation platform, and determining simulation positioning data of the virtual vehicle in the driving process by using a preset positioning algorithm, the sensing data and a to-be-detected map; and detecting a to-be-detected map according to the simulation positioning data and the positioning truth value data. According to the embodiment, the map quality can be automatically, efficiently and accurately detected based on the simulation platform.

A method for assessing electrocardiogram signal quality, the method comprising: receiving heartbeat analysis data by processing electrocardiogram data acquired from an electrocardiogram monitoring device; extracting position information and width information of a QRS complex in the heartbeat analysis data; extracting an RR interval signal between two adjacent QRS complex signals; performing QRS complex signal cancellation processing on the RR interval signal to obtain an RR interval signal for which the QRS complex signal is removed; filtering the processed RR interval signal without the QRS complex signal, and performing envelope calculation on the filtered signal to obtain the average power of a noise signal of the RR interval signal for which the QRS complex signal is removed; obtaining a signal quality evaluation index according to the average power of the noise signal and the power of the QRS complex signal.