Electronic mosaic imaging process

• US 4,673,988 A
• Filed: 04/22/1985
• Issued: 06/16/1987
• Est. Priority Date: 04/22/1985
• Status: Expired due to Fees

• Current Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.)
• Original Assignee: E. I. du Pont de Nemours and Company (Corteva, Inc.)
• Inventors: Schwaber, James S., Jansson, Peter A., Rogers, Wade T.
• Primary Examiner(s): Masinick, Michael A.
• Application Number:
  US06/725,636
• Time in Patent Office: 785 Days
• Field of Search: 358/280, 358/284, 358/287, 358/293, 358/294, 382/9
• US Class Current: 358/453
• CPC Class Codes: G02B 21/367 providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 3/4038 Image mosaicing, e.g. composing plane images from plane sub-images
• CPC Class Codes: H04N 1/195 the array comprising a two-dimensional array or a combination of two-dimensional arrays
• CPC Class Codes: H04N 1/19594 using a television camera or a still video camera
• CPC Class Codes: H04N 2201/0426 Scanning an image in a series of contiguous zones
• CPC Class Codes: H04N 5/2624 for obtaining an image which is composed of whole input images, e.g. splitscreen

Abstract

This invention relates to an imaging system with computer-controlled, multiple electronic image acquisition and assembly means for producing a high resolution, large-field electronic mosaic image from a series of smaller field image segments.

Claims

1. Method for producing a single, high-resolution, wide-field-of-view electronic mosaic image of an object within an object plane by computer-controlled, multiple electronic image acquisition and assembly means, which method comprises the steps:

(a) selecting a field of interest within the object plane;

(b) defining the pixel size in the object plane;

(c) computing the number of image pixels in the y and y directions required to cover the field of interest in the object plane;

(d) determining the number of pixels in the x and y directions of each image segment;

(e) computing image segment size in the object plane;

(f) determining the position of each image segment in the object plane and the sequence in which the image segments will be acquired;

(g) positioning the object with respect to an image sensor so that the initial image segment position in the sequence lies on the image sensor optical axis;

(h) digitizing the field of view of the image sensor;

(i) transferring the digitized field of view to a set of locations which are contiguous in the x and y directions in a mosaic image storage means corresponding to the image segment position in the object plane;

(j) positioning the object with respect to the image sensor so that the next image segment position in the sequence lies on the image sensor optical axis;

(k) digitizing the field of view of the image sensor;

(l) transferring the digitized field of view to a set of locations which are contiguous in the x and y directions in the mosaic image storage means corresponding to the image segment position in the object plane, said correspondence being chosen such that the boundaries of adjacent image segments in the mosaic image storage means are in substantial abutment and alignment;

(m) repeating steps (j), (k), and (l) until all image segments in the sequence have been digitized and stored in the mosaic image storage means; and

(n) recalling the resulting, single, high resolution, wide field of view mosaic image or any contiguous portion thereof from the mosaic image storage means.

2. The method of claim 1 wherein the digitized image transferred to the mosaic image storage means is a portion of the field of view of the image sensor, said portion defining the extent of each image segment in the object plane, in terms of the number of pixels in the x and y directions, being called a vignette.

3. The method of claim 1 wherein the image sensor is a vidicon-based video camera.

4. The method of claim 1 wherein the image sensor is a low-light-level video camera.

5. The method of claim 1 wherein the image sensor is a solid-state video camera.

6. The method of claim 1 wherein the image sensor is a solid-state line scan camera.

7. The method of claim 1 wherein the steps of digitizing the field-of-view of the image sensor include frame-averaging in which a plurality of digitized frames of the same field of view are summed image-wise and then divided by the number of frames summed.

8. The method of claim 1 wherein optics are connected to said image sensor and the optics comprise a light microscope.

9. The method of claim 8 wherein the object is mounted on a computer positionable stage, and image segment positioning is accomplished by driving said stage under computer control.

10. The method of claim 8 wherein the object is mounted on a fixed stage and the microscope optics, including objective, condensor, oculars, lenses, and the image sensor, are mounted on a computer-translatable second stage, and image segment positioning is accomplished by driving said second stage under computer control.

11. The method of claim 1 wherein optics are connected to said image sensor and the optics comprise an electron microscope.

12. The method of claim 1 wherein optics are connected to said image sensor and the optics comprise an X-ray microscope.

13. The method of claim 1 wherein optics are connected to said image sensor and the optics comprise an acoustical microscope.

14. The method of claim 1 wherein optics connected to said image sensor form an image on the image sensor of a two-dimensional, non-microscopical object, said object is mounted on a computer-positionable stage, and image segment positioning is accomplished by said stage under computer control.