Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

1271 results about "Good image" patented technology

System and method for employing color illumination and color filtration in a symbology reader

This invention provides a system and method for employing and analyzing images that are illuminated in different colors depending upon the type of illumination being employed. In an illustrative embodiment, a color image sensor is used to acquire images of subjects of interest, and each of the direct bright field, dark field and diffuse illumination are transmitted to the surface simultaneously (concurrently with each other) in a discrete illumination color that is discretely discernable by the sensor. For example, direct bright field and dark field may be red, while diffuse may be blue. Pixels of the same sensitivity (for example, red and blue) in the image sensor receive only the image generated by that color of illumination. The reader of this invention includes processing components that independently assemble images from red and blue pixel addresses to create, in effect two simultaneous images (one image generated using a combination dark field and direct bright field and the other image generated using diffuse illumination) that overlap (are registered with respect to each other) perfectly. The best image is determined using conventional image analysis tools, and meaningful data (the code of the read symbol, for example) is derived from that best image.
Owner:COGNEX TECH & INVESTMENT

System and method for employing color illumination and color filtration in a symbology reader

This invention provides a system and method for employing and analyzing images that are illuminated in different colors depending upon the type of illumination being employed. In an illustrative embodiment, a color image sensor is used to acquire images of subjects of interest, and each of the direct bright field, dark field and diffuse illumination are transmitted to the surface simultaneously (concurrently with each other) in a discrete illumination color that is discretely discernable by the sensor. For example, direct bright field and dark field may be red, while diffuse may be blue. Pixels of the same sensitivity (for example, red and blue) in the image sensor receive only the image generated by that color of illumination. The reader of this invention includes processing components that independently assemble images from red and blue pixel addresses to create, in effect two simultaneous images (one image generated using a combination dark field and direct bright field and the other image generated using diffuse illumination) that overlap (are registered with respect to each other) perfectly. The best image is determined using conventional image analysis tools, and meaningful data (the code of the read symbol, for example) is derived from that best image.
Owner:COGNEX TECH & INVESTMENT

Semi-supervised multi-spectral remote sensing image segmentation method based on spectral clustering

The invention discloses a semi-supervised multi-spectral remote sensing image segmentation method based on spectral clustering; the segmentation process includes that: (1) the characteristics inputted to the multi-spectral sensing image are extracted; (2) N points without labels and M points with labels are randomly and evenly sampled from a multi-spectral sensing image with S pixel points to form a set n which is the summation of N and M, wherein M points with labels are used for creating pairing limit information Must-link and Cannot-link sets; (3) the sampled point set is analyzed through semi-supervised spectral clustering to obtain the class labels of the n (n=N+M) points; (4) the sampled n (n=N+M) points are used as the training sample to classify the rest (S-N-M) points through nearest-neighbor rule, each pixel point is assigned with a class label according to the class of the pixel point and is used as the segmentation result of the inputted image. Compared with prior art, the invention has good image segmentation effect, strong operability, improves the classification accuracy, avoids searching the optimum parameters through repeated test, has small limit on image size and is better applicable to the segmentation of multi-class multi-spectral sensing images.
Owner:XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products