Method for processing gray scale images and an apparatus thereof

• US 4,823,194 A
• Filed: 07/30/1987
• Issued: 04/18/1989
• Est. Priority Date: 08/01/1986
• Status: Expired due to Term

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Fujiwara, Kazunori, Kobayashi, Yoshiki, Takatoo, Masao, Mishima, Tadaaki, Kanasaki, Morio
• Primary Examiner(s): Britton, Howard W.
• Application Number:
  US07/079,874
• Time in Patent Office: 628 Days
• Field of Search: 358/93, 358/96, 358/101, 358/125, 358/160, 358/166, 358/167, 358/282
• US Class Current: 382/190
• CPC Class Codes: G06V 10/20 Image preprocessing

Abstract

An original picture taken by an ITV camera is subject to a local maximum filter processing and, if necessary, further to a local minimum filter processing, so that a background image is formed from the original picture itself. A target image included in the original picture is extracted separated from the background image by the subtraction between the thus obtained background image and the original picture. According to the present invention, since the background image is formed on the basis of the original picture, the unevenness or change of brightness, which equally influences on both of the target image and the background image, has no influence on the accurate extraction of the target image.

Claims

1. A method for processing an original picture of a gray image composed of a target image and a background image to extract the target image separated from the background image, comprising the steps of:

(a) obtaining a background image by processing gray levels of the original picture; and

(b) extracting the target image on the basis of a different image between the original picture and the background image obtained in step (a).

2. A gray image processing method as defined in claim 1, wherein the step of obtaining the background image is achieved by filling up a recessed portion in the gray level distribution profile of the original picture by filtering processing of the original picture.

3. A gray image processing method as defined in claim 2, wherein filling up of the recessed portion is performed by repeating a local maximum filter processing by which the gray level of a pixel in the original picture is replaced by the maximal value of the gray levels of all pixels within a certain scope including the pixel.

4. A gray image processing method as defined in claim 3, wherein the number of times of repetition of the local maximum filter processing is determined in accordance with the width of the recessed portion in terms of the number of pixels in the original picture.

5. A gray image processing method as defined in claim 1, wherein the step of obtaining the background image is achieved by planing the convex portion in the gray level distribution profile of the original picture by filtering processing of the original picture.

6. A gray image processing method as defined in claim 5, wherein planing of the convex portion is performed by repeating a local minimum filter processing by which the gray level of a pixel in the original picture is replaced by the minimal value of the gray levels of all pixels within a certain scope including the pixel.

7. A gray image processing method as defined in claim 6, wherein the number of times of repetition of the local minimum filter processing is determined in accordance with the width of the convex portion in terms of the number of pixels in the original picture.

8. A gray image processing method as defined in claim 1, wherein the step of obtaining the background image is achieved by repeating at least one of a local maximum filter processing by which the gray level of a pixel in the original picture is replaced by the maximal value of the gray levels of at least some of pixels within a certain scope including the pixel and a local minimum filter processing by which the gray level of a pixel is replaced by the minimal value of the gray levels of at least some of the pixels within the certain scope including the pixel.

9. A gray image processing method as defined in claim 8, wherein there is taken a histogram of the gray level distribution in the original picture, and it is determined in accordance with the characteristic of the histogram which of the local maximum filter processing and the local minimum filter processing is first repeated.

10. A gray image processing method as defined in claim 8, wherein a first background image, in which the recessed portion in the gray level distribution profile of the original picture is filled up, is formed by repeating the local maximum filter processing, a first intermediate image is obtained by the calculation between the original picture and the first background image, a second background image, in which the convex portion in the gray level distribution profile of the original picture is planed, is formed by repeating the local minimum filter processing, a second intermediate image is obtained by the calculation between the original picture and the second background image, and the target image is formed by the calculation between the first and second intermediate images.

11. A gray image processing method as defined in claim 8, wherein both the local filter processings are carried out by replacing the gray level of a pixel in the original picture by the maximal or minimal value of the gray levels of pixels specified in advance within a certain scope including the pixel.

12. A gray image processing method as defined in claim 8, wherein the local maximum filter processing is first repeated with respect to the original picture and thereafter the local minimum filter processing is repeated with respect to the result of the local maximum filter processing.

13. A gray image processing method as defined in claim 12, wherein the number of times of repetition of the local minimum filter processing is equal to that of the local maximum filter processing.

14. A gray image processing method as defined in claim 13, wherein the number of times of repetition of both the filter processing is determined in accordance with the thickness or size of the target image in terms of the number of pixels in the original picture.

15. A gray image processing method as defined in claim 8, wherein the local minimum filter processing is first repeated with respect to the original picture and thereafter the local maximum filter processing is repeated with respect to the result of the local minimum filter processing.

16. A gray image processing method as defined in claim 15, wherein the number of times of repetition of the local maximum filter processing is equal to that of the local minimum filter processing.

17. A gray image processing method as defined in claim 16, wherein the number of times of repetition of both the filter processing is determined in accordance with the thickness or size of the target image in terms of the number of pixels in the original picture.

18. A gray image processing apparatus having a television camera for taking an original gray pictures of a predetermined area of an object, which is composed of a target image and a background image, an image memory for storing gray image data converted from the original picture of the analog form into the digital form, a processing unit in which the gray image data stored in the image memory is subject to a predetermined processing and the processed data is stored in the image memory again, and a monitor for reading out data from the image memory and displaying it thereon, whereby the target image is extracted as a contrast image separated from the background image comprising:

at least one local maximum filter in which the gray level of a pixel in the original gray picture read out from the image memory is replaced by the maximal value of the gray levels of at least some pixels within a certain scope including the pixel, and the replaced image data is stored in the image memory again, and a local minimum filter in which the gray level of a pixel in the original gray picture read out from the image memory is replaced by the minimal value of the gray levels of at least some of pixels within a certain scope including the pixel, and the replaced image data is stored in the image memory again, whereby the background image is formed on the basis of the original picture and is stored in the image memory; and

an image calculator for executing a predetermined calculation between the original picture and the background image, both being read out from the image memory, to obtain a contrast image of the target image and for returning data of the contrast image as a result of the calculation to the image memory.

19. A gray image processing apparatus as defined in claim 18, wherein there is further provided a binarization circuit for binarizing data of the contrast image read out from the image memory and returning the binarized data to the image memory, whereby the contrast image is displayed on the monitor.

20. A gray image processing apparatus as defined in claim 19, wherein there is further provided a convolution circuit for reading out data of the contrast image from the image memory, filtering the data read out and returning the filtered data to the image memory.