Lumber inspection method, device and program
An imaging means captures a color image of lumber. An image processing means obtains the color distribution of the color image captured by the imaging means, compares the obtained color distribution with a predetermined color distribution of normal lumber, judges the obtained color distribution as an abnormal one when it is deviated from the color distribution of normal lumber by a predetermined value or more, and detects a defect of the lumber having the abnormal color distribution deviated by a value larger than the predetermined value in an area on the surface of the lumber captured by the imaging means.
1. A lumber inspection method executed by a programmed processor, comprising:
obtaining a color image of lumber captured by imaging means;
obtaining a color distribution of the color image captured by the imaging means;
comparing the obtained color distribution with a predetermined color distribution of normal lumber;
judging the obtained color distribution as an abnormal one when it is deviated from the color distribution of normal lumber by a predetermined value or more; and
detecting an area on the surface of the lumber captured by the imaging means whose abnormal color distribution has a value greater than the predetermined value as a defect of the lumber.
2. The lumber inspection method according to claim 1 , wherein when setting, as an inspection object, lumber whose defective area is small relative to an inspection object area, image distributions acquired on a per-inspection object basis are replaceably used from case to case as the predetermined color distributions of normal lumber.
3. The lumber inspection method according to claim 1 , wherein an abnormal brightness portion is detected by obtaining a brightness histogram of the color distribution of the captured color image.
4. The lumber inspection method according to claim 3 , characterized in that, for the brightness histogram of the color distribution of normal lumber determined in advance, an entire normal distribution is estimated from a cumulative frequency of a partial region on the assumption that an entire distribution follows a normal distribution.
5. The lumber inspection method according to claim 2 , wherein an abnormal brightness portion is detected by obtaining a brightness histogram of the color distribution of the captured color image.
6. A lumber inspection device comprising:
an imaging unit for capturing a color image of lumber; and
an image processing unit for obtaining a color distribution of the color image captured by the imaging unit, comparing the obtained color distribution with a predetermined color distribution of normal lumber, judging the obtained color distribution as an abnormal one when it is deviated from the color distribution of normal lumber by a predetermined value or more, and detecting an area on the surface of the lumber captured by the imaging unit whose abnormal color distribution has a value greater than the predetermined value as a defect of the lumber.
7. The lumber inspection device according to claim 6 , wherein when setting, as an inspection object, lumber whose defective area is small relative to an inspection object area, the image processing unit replaceably uses image distributions acquired on a per-inspection object basis from case to case as the predetermined color distributions of normal lumber.
8. The lumber inspection device according to claim 6 , wherein the image processing unit detects an abnormal brightness portion by obtaining a brightness histogram of the color distribution of the captured color image.
9. The lumber inspection device according to claim 8 , wherein, for the brightness histogram, the image processing unit estimates an entire normal distribution from a cumulative frequency of a partial region on the assumption that an entire distribution follows a normal distribution.
10. The lumber inspection device according to claim 7 , wherein the image processing unit detects an abnormal brightness portion by obtaining a brightness histogram of the color distribution of the captured color image.
11. A computer-readable storage device storing a program for causing a computer to function as:
an imaging unit for capturing a color image of lumber; and
an image processing unit for obtaining a color distribution of the color image captured by the imaging unit, comparing the obtained color distribution with a predetermined color distribution of normal lumber, judging the obtained color distribution as an abnormal one when it is deviated from the color distribution of normal lumber by a predetermined value or more, and detecting an area on the surface of the lumber captured by the imaging unit whose abnormal color distribution has a value greater than the predetermined value as a defect of the lumber.