Entropy filter, and area extracting method using the filter
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06K-009/00
G06K-009/66
G06K-009/64
출원번호
US-0433463
(2001-11-13)
등록번호
US-7460702
(2008-12-02)
우선권정보
JP-2000-367632(2000-12-01)
국제출원번호
PCT/JP01/009901
(2001-11-13)
§371/§102 date
20030530
(20030530)
국제공개번호
WO02/045021
(2002-06-06)
발명자
/ 주소
Hamahashi,Shugo
Onami,Shuichi
Kitano,Hiroaki
출원인 / 주소
Japan Science and Technology Corporation
대리인 / 주소
Ladas &
인용정보
피인용 횟수 :
2인용 특허 :
7
초록▼
A smooth portion is efficiently extracted from an image. There is provided an entropy filter in which a noted pixel (x, y) is determined in an original image, said image is partitioned by a window of size (width, height)=(A, B) from the noted pixel, entropy of the partitioned window is calculated,
A smooth portion is efficiently extracted from an image. There is provided an entropy filter in which a noted pixel (x, y) is determined in an original image, said image is partitioned by a window of size (width, height)=(A, B) from the noted pixel, entropy of the partitioned window is calculated, and obtained entropy value is saved on the coordinates (x, y) of a resulting image. Here, in a noted pixel (x, y), x is ranged from 0 to (an image width minus a window width) and y is ranged from 0 to (an image height minus a window height). By using an entropy filter, a smooth portion in image quality is extracted from an original image. A preferred example of the smooth portion is a cell nucleus.
대표청구항▼
What is claimed is: 1. A method of detecting a smooth area or coarse area in image quality from an original image by processing the original image using an entropy filter, said entropy filter comprising a computer and software embodied on a computer-readable memory for implementation by the compute
What is claimed is: 1. A method of detecting a smooth area or coarse area in image quality from an original image by processing the original image using an entropy filter, said entropy filter comprising a computer and software embodied on a computer-readable memory for implementation by the computer, comprising the steps of: providing the original image to the computer, each pixel of said image having an intensity and a location within the image (x, y); calculating entropy of a small section of said image whose location in the image is derived from the location of a noted pixel (x, y) located within the small section to obtain an entropy value for said pixel (x, y) and obtaining the entropy value for said each pixel of said image, wherein entropy is calculated based on the following equation (1): where P(l) is a normalized intensity histogram obtained by dividing the frequency of each intensity level by the total number of frequencies, renewing the intensity of said each pixel of said image by the entropy value, and binarizing said renewed intensity of said each pixel using a threshold to obtain a binarized image including one or more detected smooth areas or coarse areas. 2. The method of claim 1, wherein said small section is defined by determining a start point (x, y) in said image, followed by partitioning said image with a window of size (width, height)=(A, B) from said start point, wherein entropy of the partitioned window is calculated, and an obtained entropy value is saved on the coordinates (x, y) of a resulting image, and wherein x is ranged from 0 to (an image width minus a window width) and y is ranged from 0 to (an image height minus a window height). 3. The method of claim 1, wherein the original image is a cell image and the smooth area is a nucleus, and wherein the nucleus is detected from the cell image. 4. The method of claim 3, wherein the original image is taken by a Nomarski microscope. 5. A method of detecting a nucleus area from a cell image by a computer, comprising: providing the cell image to the computer, each pixel of said cell image having an intensity and a location within the image (x, y); calculating entropy of a small section of said image whose location in the image is derived from the location of a noted pixel (x, y) located within the small section to obtain an entropy value for said pixel (x, y) and obtaining the entropy value for said each pixel of said image, wherein entropy is calculated based on the following equation (1): where P(l) is a normalized intensity histogram obtained by dividing the frequency of each intensity level by the total number of frequencies, renewing the intensity of said each pixel of said image by the entropy value, and binarizing said renewed intensity of each pixel using a threshold to obtain a binarized image including one or more detected nucleus areas. 6. The method of claim 5, wherein said small section is defined by determining a start point (x, y) in said image, followed by partitioning said image with a window of size (width, height)=(A, B) from said start point, wherein entropy of the partitioned window is calculated, and an obtained entropy value is saved on the coordinates (x, y) of a resulting image, and wherein x is ranged from a to (an image width minus a window width) and y is 7. The method of claim 5, wherein the original image is taken by a Nomarski microscope.
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