A silicon wafer detection method and a silicon wafer detection device
A detection method and technology of silicon wafers, which are applied in the field of solar cells, can solve the problems of no uniform standards for detection methods, inconsistent subjective judgment standards, poor appearance evaluation effects, etc., and achieve high repeatability, fast speed, and high precision.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
no. 1 example
[0063] Such as figure 1 As shown, the LED annular light source and the camera are fixed to the table, and the silicon wafer is placed on the sample stage, and the silicon sample is irradiated with an LED annular source, and the color image of the silicon wafer is collected, and then the color image is transmitted to the computer. deal with. In this embodiment, the workbench, sample table and camera are placed in the housing. The computer collected color images collected by the camera:
[0064] (1) Use the MATLAB software to collect data information of each pixel point in color images, according to the three color components of each of the pixel points, the three color components of each pixel point, the commonly used graylation processing formula is i = 0.3 R + 0.59 g + 0.11b, converting the color image into a grayscale image. Those skilled in the art will readily appreciate that if the grayscale image (ie, black and white photo) of the silicon wafer is directly collected, the con...
no. 2 example
[0080] This example is used to quantify the appearance of the silicon wafer. Repeat the steps (1) to (3) of the first embodiment, Figure 4 The silicon image shown in the gray value distribution statistics, calculating the ratio of the pixel point corresponding to each of the grayscale values I or the grayscale interval accounts for the ratio of the total number of pixels ("Pixel points"), preferably Draw gray value distribution curve (such as Figure 5 Indicated). The number of pixel points corresponding to each grayscale value accounts for comparison with the ratio of the total pixel point (in this embodiment, the ratio threshold is 0.001), and the gradation value corresponding to the ratio of the ratio value is an abnormal gray value. The gradation value corresponding to the ratio of the ratio of above 0.001 is the normal gray value; the width L of the normal gray value is calculated, that is, the difference between the highest normal gray value and the lowest normal gray value...
PUM
| Property | Measurement | Unit |
|---|---|---|
| reflectance | aaaaa | aaaaa |
Abstract
Description
Claims
Application Information
Login to View More 


