Adaptive display system

• US 5,448,652 A
• Filed: 03/23/1993
• Issued: 09/05/1995
• Est. Priority Date: 09/27/1991
• Status: Expired due to Term

• 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: Fowler, Dennis B., Vaidyanathan, Akhileswar G.
• Primary Examiner(s): Mancuso, Joseph
• Application Number:
  US08/035,819
• Time in Patent Office: 896 Days
• Field of Search: 382/17, 382/48, 382/9, 358/523, 358/538, 358/518, 358/520, 358/512, 358/522, 340/701, 340/703, 364/526, 345/153, 345/154, 348/270, 348/273, 348/743, 395/131
• US Class Current: 382/165
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06T 11/40 Filling a planar surface by adding surface attributes, e.g. colour or texture
• CPC Class Codes: G06T 2207/20008 Globally adaptive
• CPC Class Codes: G06T 2207/30024 Cell structures in vitro; Tissue sections in vitro
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/12 Edge-based segmentation
• CPC Class Codes: G06T 7/136 involving thresholding
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: G06T 9/20 Contour coding, e.g. using detection of edges
• CPC Class Codes: G06V 10/46 Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features colour feature extraction G06V10/56
• CPC Class Codes: G09G 5/06 using colour palettes, e.g. look-up tables

Abstract

The present invention relates to a digital image analysis method for automatically identifying an object in a background, characterizing the object by color by determining at least one interior point of the object, and displaying the object on a monitor in color corresponding to the natural color of the object and a digital image analysis method for displaying an object on a monitor in color. The methods are adaptive in that they create a new pallette for each image being processed. The system used to implement the methods is cost effective in that a black-and-white image processing board can be used in conjunction with a color filter and a color monitor.

Claims

1. A digital image analysis method for displaying an object on a monitor in color corresponding to the color of the object, comprising the steps of:

(a) generating a plurality of images of the object and the background thereof, wherein each image is one of three primary color images or a black-and-white image;

(b) searching at least one of the images for the object;

(c) determining the interior points of the object;

(d) determining the gray level values of at least one predetermined interior point;

(e) calculating at least one color parameter of the predetermined interior point;

(f) calculating at least one color parameter index for the predetermined interior point of the object;

(g) preparing a table of gray level values corresponding to the color parameter index of the predetermined interior point of the object;

(h) defining an image buffer wherein the locations corresponding to the interior points of the object are assigned the color parameter index of the predetermined interior point; and

(i) copying the image buffer to the monitor to display the object in color corresponding to the color of the predetermined interior point as determined by the table of gray level values corresponding to the color parameter index.

2. The image analysis method of claim 1, wherein the step of searching the image comprises using at least one automatically calculated threshold.

3. The image analysis method of claim 1, wherein the step of determining the interior points comprises determining the center of mass of the object.

4. The image analysis method of claim 3, wherein the step of determining the gray level values comprises determining the gray level values of the center of mass of the object.

5. The image analysis method of claim 4, wherein the step of calculating at least one first color parameter comprises calculating the hue angle.

6. The image analysis method of claim 5, wherein the step of calculating at least one color parameter comprises calculating the hue magnitude of the center of mass.

7. The image analysis method of claim 6, further including the step of using the hue magnitude to resolve conflicts in the table of gray level values.

8. The image analysis method of claim 5, wherein the step of calculating at least one color parameter index comprises calculating the hue index of the center of mass of the object.

9. The image analysis method of claim 8, wherein the preparing step comprises preparing a table of gray level values corresponding to the hue index of the center of mass for the object.

10. The image analysis method of claim 9, wherein the step of defining an image buffer comprises defining an image buffer where the locations corresponding to the interior points of the object are assigned the hue index of the center of mass of the object.

11. The image analysis method of claim 10, wherein the step of copying the image buffer to the monitor comprises copying the image buffer to the monitor to display the object in a color corresponding to the color of the center of mass of the object as determined by the hue index.

12. A method of identifying, characterizing and displaying by color at least one valid object having at least one predetermined attribute value in a background, comprising the steps of:

(a) generating a plurality of images of a candidate object and the background, wherein each image is one of three primary color images or a black-and-white image;

(b) searching at least one image for at least one candidate object;

(c) determining the interior points of the candidate object;

(d) determining the gray level values of at least one predetermined interior point of the candidate object;

(e) calculating at least one color parameter of the predetermined interior point of the candidate object;

(f) characterizing the candidate object by the color parameter;

(g) validating the candidate object having the valid object predetermined attribute value to identify the valid object;

(h) calculating at least one color parameter index for the at least one predetermined interior point of the valid object;

(i) preparing a table of gray level values corresponding to the color parameter index of the predetermined interior point of the valid objects;

(j) defining an image buffer wherein the locations corresponding to the interior points of the valid object are assigned the color parameter index of the predetermined interior point of the valid object; and

(k) copying the image buffer to the monitor to display the valid object in color corresponding to the color of the predetermined interior point of the valid object as determined by the table of gray level values corresponding to the color parameter index.

13. The method of claim 12, wherein the step of searching the image comprises using at least one automatically calculated threshold.