Forgery detection system and its method for falsified biomedical experiment images
The present invention relates to a forgery detection system and its method for biomedical experiment images, especially for molecular-biological experiment images, such as western blot (WB) and polymerase chain reaction (PCR) results. The forgery detection system mainly comprises a processing module, an image difference computing module, a thresholding module, and an image mixing module are formed in an image analyzing device in the form of a library, a variable or an operand. Moreover, the processing module has a quantization parameter establishing unit, a similar computing unit, and a pseudo background generating unit. The purpose of the image analyzing device is to display an artificial image on the input image.
1. A forgery detection system, comprising:
an image receiving device configured to receive an input image;
an image analysis device configured to perform a plurality of functions consisting of:
(a) performing a pseudo background generation process on the input image, thereby obtaining a pseudo background image;
(b) performing an image difference operation on the pseudo background image and the input image to obtain a volatility pattern;
(c) performing a binarization process on the volatility pattern to obtain an indictor image;
(d) performing a mixing operation on the indicator image and the input image to obtain a background noise distribution control image; and
(e) displaying the background noise distribution control image, thereby completing the image detection of the input image.
2. The forgery detection system of claim 1 , wherein the image analysis device is any of the following: a tablet, a notebook, a desktop, or a central processing unit.
3. The forgery detection system of claim 1 , wherein the image analysis device performs the foregoing function (a) through following steps of:
(a1) performing an image quantization parameter establishing operation on the input image, and establishing an operation result according to the image quantization parameter to establish a quantization parameter matrix;
(a2) performing a similarity calculation on the input image and the pseudo background image; and
wherein the pseudo background image is generated by performing a Fourier transform on the quantization parameter matrix and the result of the similarity calculation.
4. The forgery detection system of claim 1 , wherein the image analysis device performs the foregoing function (b) through following steps of:
(b1) performing image normalization on the volatility pattern; and
(b2) setting a specified threshold value of the one of the volatility patterns;
wherein the fluctuation pattern is subjected to the binarization processing according to the specified threshold value to obtain the indicator image.
5. The forgery detection system of claim 4 , wherein the image analysis device performs the foregoing function (b) through following steps of:
(b3) setting a parameter setting value of the two-dimensional Gaussian low-pass filtering unit; and
(b4) performing a Gaussian blurring on the input image to establish the pseudo background image.
6. The forgery detection system of claim 1 , wherein the mixing operation is accomplished using an alpha blending algorithm.
7. The forgery detection system of claim 1 , wherein the input image is a biomedical experimental image formed by a western blot or a polymerase chain reaction.
8. The forgery detection system of claim 1 , wherein the image analysis device in the form of a library, a variable, or an operand.