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184results about How to "Remove shadows" patented technology

Indoor hyperspectral bidirectional reflectance distribution function (BRDF) determining system

The invention relates to an indoor hyperspectral bidirectional reflectance distribution function (BRDF) determining system, which comprises a light source area, a hyperspectral auxiliary brightness gauge adjusting area, a carrier stage area and a base which is horizontally placed; the light source area comprises a light source, a light source space adjusting valve, a light source supporting rod and a semi-arc slide rail, wherein the light source is hinged with the circular center of the semi-arc slide rail which is fixed on the side surface of the base through the light source supporting rod; the hyperspectral auxiliary brightness gauge adjusting area comprises an auxiliary brightness gauge, a space adjusting device, a quarter-arc slide rail and a hollow rotary disc, wherein the carrier stage area is arranged on the center of the base, and the hollow rotary disc is fixed on the center of the base; an optical axis of the light source always points to the center of the hollow rotary disc; and both the light source and the auxiliary brightness gauge are powered on. The indoor hyperspectral BRDF determining system has beneficial effects that: shade can be eliminated, the measuring precision can be improved, and the flexibility of the measuring range can be improved; and the rotation of the carrier stage can introduce the azimuth angle characteristic of the BRDF light source, so the completeness of the BRDF determination can be enhanced.
Owner:ZHEJIANG UNIV

Background updating method and vehicle target extracting method in traffic video monitoring

ActiveCN102509101AUnsatisfactory backgroundIdeal backgroundImage enhancementDetection of traffic movementVertical projectionVideo monitoring
The invention discloses a background updating method and a vehicle target extracting method in traffic video monitoring. The background updating method comprises the following step of: carrying out background updating judgment based on Canny edge detection. The background updating method solves the problem that the real-time background updating property is poor when traffic jams occur in urban cross roads and people wait a traffic light at a traffic light cross road. The vehicle target extracting method comprises the background updating method disclosed by the invention and a shadow and adhesion eliminating method. The vehicle target extracting method comprises the following step of: extracting a foreground image of a vehicle target on the premise of obtaining an ideal background based onthe background updating method; and then eliminating shadows and adhesions, wherein the shadow and adhesion eliminating method comprises the following steps of: eliminating the shadows by using a cross-correlation function, filling a hole, cutting edges, and sequentially carrying out noise reduction, vertical projection and horizontal projection, and thus the problems of target vehicle adhesion and inaccurate outline caused by the shadows are solved; and extracting an ideal vehicle target.
Owner:昆山市工业技术研究院有限责任公司 +1

Intelligent dimming controller in LED shadowless lamp lighting system

InactiveCN104320881ARealize automatic constant light adjustmentConstant illuminanceElectric light circuit arrangementEnergy saving control techniquesVideo imageVisual perception
The invention discloses an intelligent dimming controller in an LED shadowless lamp lighting system. A blurred visual image processing technology is adopted to conduct feature analysis and processing on images in a surgical view field, brightness information and chrominance information of a lighting environment are extracted, and current control parameters of LED light sources are calculated through an intelligent processing algorithm. Specifically, the images in the surgical view field are converted into digital image signals firstly, the signals are read into the system through a video image collecting module, then the signals are analyzed through an image analysis and processing module, illuminance distribution information and chrominance distribution information are extracted, corresponding illuminance feature vectors and corresponding chrominance feature vectors are extracted through an illuminance and chrominance feature extraction module, a shadow area generated by a shielding object is split through a blurred image dividing module, the driving current value of the corresponding LED light source is worked out through a blurred neural network, the driving current value is sent to an LED controller to adjust the brightness of a corresponding LED. Thus, the purposes of shadow eliminating, illuminance evening and constant-light control are achieved, automatic dimming control is realized, no manual intervention is needed, and shadows are completely eliminated.
Owner:许敏

Face image illumination compensation method

The present invention discloses a face image illumination compensation method. The method comprises the following steps that: step 1, classical retinex illumination compensation is performed on an original image; step 2, edge detection is performed, a pseudo edge is judged by using an equation (13), and a low-illuminance region C (x, y) corresponding to the pseudo edge is marked by using an equation (17); step 3, structural tensors and eigenvalues mu1 and mu2 corresponding to the structural tensors are obtained according to equations (14) and (16); step 4, values are re-assigned to mu1 and mu2, the values obtained in the step 2 and step 3 are introduced into an equation (20); and step 5, the environment function of the Retinex algorithm is improved, illumination processing is performed on the original image, and an illumination-compensated image is obtained by using an equation (5). With the method of the invention adopted, the inadequacies of traditional Retinex and PCNN in eliminating shadows and causing fogging phenomena in illumination compensation can be eliminated, shadows in the image can be diluted to a certain extent, the shadow edges of the image can be eliminated, detail information can be presented, a face recognition rate can be improved, and a face misjudgment rate can be decreased.
Owner:CHONGQING THREE GORGES UNIV
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