TWI399531B - A method for forming a discharge image with a characteristic conversion effect - Google Patents

Description

Discharge image forming method with feature conversion effect

The present invention relates to a discharge image forming method, and more particularly to a discharge image forming method having a characteristic conversion effect.

In 1939, a Soviet Russian technician Semyon Davidovich Kirlian discovered a method of photography called Kirlian photography. Kryan photography does not require an external light source, mainly by applying a high voltage, high frequency, low current electric field to the object to be photographed, and then sensing the discharge image to the photographic paper in direct contact with the object, so that the photographic paper records the discharge. The resulting halo pattern. When such a high-voltage, high-frequency, weak current passes through an object placed on the photographic paper, the edge of the object will burn the radial aura on the photographic paper, causing the pupil to develop. This is the so-called Kryan photo.

As shown in the twenty-first figure, it is a common Krym photo pattern, which shows a discharge image of a blade. The image shows a starting halo along the edge of the blade, so that the blade can be observed. Discharge state.

After discovering Kryan's photography, many people think that the halo pattern on the photo is the so-called life energy field, which can show the energy, health status of the subject, or the judgment of a person's personality and emotion.

The International Kirlian Research institute also claims that there are images of Kryan photographs taken with healthy individuals and those with photos of cancer and other critically ill diseases. Different halo patterns. In addition, as disclosed in U.S. Patent Nos. 4,222,658 and 4,545,969, it is possible to carry out the above-mentioned Kryan photos. The device is further used to detect the phenomenon of the human body and the human body in the treatment procedure.

However, since the above-mentioned Cree photography is performed, the difference between the respective discharge images obtained for different subjects is small, and the discharge pattern also changes with the volume type of the object, so that the conventional use The discharge images produced by Kryan photography are less sensitive and less well-recognized, making it difficult to perform various subsequent image judgments and resolutions.

Therefore, the main object of the present invention is to provide a method for forming a discharge image, which can perform feature conversion on a discharge image, enhance characteristics and differences of the discharge image, and thereby increase image recognition.

In order to achieve the foregoing object, the present invention provides a method for forming a discharge image having a characteristic conversion effect, which firstly sets an object to be tested on an electrode, and the object to be tested is insulated from the electrode, and then is produced by the electrode. An electric field having a high voltage is applied to the object to be tested, and then an image sensor is used to extract a discharge image generated by the object to be tested in the electric field, and then the discharge image is converted by a Fourier transform method. By the above method, the present invention can perform feature conversion on the discharge image, enhance the characteristics and differences of the discharge image, and thereby increase the visibility of the image.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a preferred embodiment will be described with reference to the drawings to explain in detail the steps, experimental methods and effects of the present invention.

Please refer to the first embodiment, which is a flow chart of a preferred embodiment of the present invention, which includes the following steps: 1. Setting the object to be tested: Please match the object to be tested (10) in conjunction with the second figure. The object to be tested (10) of the present embodiment may be biological or abiotic. A transparent film (25) is disposed between the object to be tested (10) and the electrode (20) to insulate the object to be tested (10) from the electrode (20).

2. Apply electric field: connect the electrode (20) to an AC power source with high voltage, high frequency and low current, and the object to be tested (10) is directly grounded, so that an electric field can be generated when the AC power source is conducted to the electrode (20). It is applied to the object to be tested (10), and the object to be tested (10) is discharged.

3. Capture image: set an image sensor (30) above the object to be tested (10). When an electric field is applied to the object to be tested (10) to discharge the object to be tested (10), the image sensor ( 30) The discharge image data generated by the object to be tested (10) can be sensed and captured. The image sensor (30) can be a conventional photosensitive film or a digital camera.

4. Feature conversion: The discharge image data is converted into the discharge image data by Fourier transform method (Fourier Transform) through the numerical operation, so that the discharge image data is converted from the spatial domain feature to the frequency domain feature.

After the image data is converted by the above-described Fourier transform method, the original spatial domain pattern can be converted into a frequency domain pattern, and the Fourier transform can be converted in one-dimensional or two-dimensional manner.

Taking the circular hole pattern shown in the third figure as an example, when the circular hole pattern is subjected to two-dimensional Fourier transform and then the logarithm is obtained, the spatial domain pattern of the original circular hole can be converted into a frequency domain pattern as shown in the fourth figure. Reinforce the contrast of the fourth picture, as shown in the fifth picture, the characteristics of the image pattern can be more obvious, and increase Add differences.

Using the above steps, the present invention is experimentally verified by using a tin foil sheet and a Malabar blade as the object to be tested (10), and the digital image sensor (30) is replaced by a digital camera. The AC power supply voltage applied in the experiment is about 10kV, the frequency is about 10~500Hz, and the object to be tested (10) is placed in the air at a pressure of one atmosphere. In order to make the discharge image captured by the sensor (30) have more obvious features, when the digital camera obtains the image data, the RGB color separation technology is first processed for the data, and then the data of each color separation is separately made. Feature conversion.

Please refer to the sixth figure for the tin foil as the object to be tested (10), and the seventh to ninth for the discharge image after the color separation and feature conversion of red, green and blue respectively, and the tin foil can be found from each figure. The features after discharge are all filament-like cross or m-shaped star-shaped map. In addition, in order to improve the brightness of the overall discharge image, as shown in the tenth figure, the contrast of the discharge image after the feature conversion is enhanced, so that the display of the feature pattern is more obvious.

Please refer to the eleventh figure, which is to change the object to be tested (10) to the state of normal Malabar leaves, and the twelfth to fifteenth figures show that the leaves of Malabar are red, green and blue, respectively. Discharge images after color separation and feature conversion, and enhanced contrast patterns. It can be seen from the figures that the discharge images of the Malabar leaves show a luminous line across the second and fourth quadrants after conversion.

In order to display the discharge image corresponding to the object to be tested (10) having different states, please refer to the sixteenth figure, which is to take the Malabar leaf blade after the predetermined time of the strong magnetic field as the object to be tested ( 10), the seventeenth to the twentieth are the discharge images of the above-mentioned Malabar chestnut leaves after red, green and blue color separation and feature conversion, and the contrast-enhanced pattern. Comparison The normal blade image shown in Figures 12 to 14 and the image displayed by the blade with strong magnetic field can be found that the radiation line that originally traversed the second and fourth quadrants is less obvious and appears more More uniform filaments.

Through the above-mentioned inventive steps and experiments, it can be found that when the discharge image captured by the sensor (30) is converted by the Fourier transform method, since the original spatial domain pattern can be converted into the frequency domain, the feature expression in the image is enhanced. Like the above-mentioned patterns of bright lines and filaments, the patterns in the image are greatly different, thereby increasing the discrimination of the discharge image. In addition to the Fourier transform for feature conversion, combined with the color separation technology and improved contrast, the recognition effect of the discharge image can be further enhanced.

Therefore, the present invention utilizes the above steps and features to achieve the purpose of characterizing the discharge image, enhancing the characteristics and differences of the discharge image, and further increasing the image recognition degree.

The invention disclosed in the foregoing embodiments is merely illustrative, and is not intended to limit the scope of the present invention.

10‧‧‧Test object

20‧‧‧ electrodes

25‧‧‧ Film

30‧‧‧Image Sensor

The first figure is a flow chart of a preferred embodiment of the present invention.

The second drawing is a schematic diagram of an experimental apparatus according to a preferred embodiment of the present invention.

The third figure is a schematic view of a preferred embodiment of the present invention, mainly showing a circular hole pattern.

The fourth figure is a schematic diagram of a preferred embodiment of the present invention, mainly showing the frequency domain pattern after feature conversion.

The fifth drawing is a schematic view of a preferred embodiment of the present invention, mainly showing a pattern after enhanced contrast.

Figure 6 is a view showing an embodiment of a preferred embodiment of the present invention.

The seventh figure is a discharge image diagram of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

The eighth figure is a discharge image diagram of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

The ninth drawing is a discharge image diagram of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

The tenth figure is a discharge image diagram of a preferred embodiment of the present invention, mainly showing a pattern after characteristic conversion and contrast enhancement.

Figure 11 is a view showing another embodiment of a preferred embodiment of the present invention.

Fig. 12 is a view showing a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

Figure 13 is a view of a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

Figure 14 is a view of a discharge image of a preferred embodiment of the present invention, mainly The pattern after color separation and feature conversion is displayed.

Fig. 15 is a view showing a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after characteristic conversion and contrast enhancement.

Figure 16 is a view showing still another embodiment of a preferred embodiment of the present invention.

Figure 17 is a view of a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

Figure 18 is a view of a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

Fig. 19 is a view showing a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after color separation and feature conversion.

Figure 20 is a view of a discharge image of a preferred embodiment of the present invention, mainly showing a pattern after characteristic conversion and contrast enhancement.

The twenty-first picture is a traditional Kerry photo pattern.

10‧‧‧Test object

20‧‧‧ electrodes

25‧‧‧ Film

30‧‧‧Image Sensor

Claims (7)

A method for forming a discharge image, comprising: a. placing an object to be tested on an electrode, wherein the object to be tested is insulated from the electrode; b. applying an electric field having a high voltage to the electrode to be applied to the electrode Measuring the object; c. capturing an image of the discharge generated by the object to be detected in the electric field by an image sensor; and d. converting the discharge image by using a Fourier transform method. The method for forming a discharge image according to claim 1, wherein the object to be tested in the step a is first disposed in a magnetic field environment and then disposed on the electrode. The method for forming a discharge image according to claim 1, wherein in the step c, the discharge image is captured as digital image data. The discharge image forming method according to claim 1, wherein the converted discharge image is processed by a color separation technique after the step d. The discharge image forming method according to claim 1, wherein the converted discharge image is processed in an enhanced contrast manner after the step d. The discharge image forming method according to claim 1, wherein the electric field voltage is 10 kV. The discharge image forming method according to claim 1, wherein the electric field has a frequency of 10 to 500 Hz.