Abstract:
A method for remote approval of lenticular images and an apparatus which can execute the method. In the method, a centralized hub station receives a series of images. A user then views at a terminal remote from the centralized hub station, a simulated lenticular image using at least some images of the series displayed to simulate viewing an actual lenticular image formed from the images of the series. Following such viewing, an approval is transmitted from the remote terminal to the centralized hub station, for a plurality of the images of the series to be printed as the actual lenticular image. The actual lenticular image is then printed at the hub station based on the approval.
Abstract:
A system and method of counting and analyzing each image of a plurality of features by minimizing the paralysis angle associated with each feature whose image is being analyzed by line-to-line scanning techniques is disclosed. The system and method involves the temporary storage of the X-coordinates of the boundary intercepts of each feature along one line scan and then selecting the last-to-occur of such intercepts to generate in memory a modified binary video signal to define the trailing edge of the feature. The modified video signal is stored one line scan and compared with the next real time line scan video signal in a manner such that the trailing edge data very accurately represents the actual position of the trailing edge of the feature.
Abstract:
Image analysis techniques permit the measurement of a wide variety of parameters of the image being analyzed. This invention is specifically concerned with the measurement of parameters related to the amplitude of the video signal. Measurement related parameters include density, absorbance, transmittance, and reflectance of a particular sample. Techniques employed analyze the amplitude of a video signal over a predefined area and process this on a point-by-point basis to produce the desired measurement with exceptional accuracy.