JPS5981991A - Picture recognizing device - Google Patents

Abstract

PURPOSE:To reproduce a picture with an excellent S/N by multiplying the output of a circuit which multiplies signals corresponding to red and blue by the output of a circuit which divides signals corresponding to blue and yellow. CONSTITUTION:Light from a picture 1 consisting of a blue circle 1a and a blue noise 1b is converted into an electric signal by a color image pickup tube 2. The image pickup tube 2 is scanned in the direction as shown by an arrow to obtain electric signals 2a, 2b, and 2c corresponding to red, blue, and yellow. Then, the electric signals 2a and 2b are multiplied by the multiplying circuit 3 and the electric signals 2b and 2c are divided by the dividing circuit 4; and the output 3a of the circuit 3 and the output signal 4a of the circuit 4 are multiplied by a multiplying circuit 5, whose output signal 5a is used to reproduce a picture. This signal 5a is a picture signal having much higher contrast than the signal 2b.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to an image recognition device, and particularly to an image recognition device suitable for improving the SIN ratio of an image signal.

Image recognition has become widespread in a variety of applications, from home video cameras to measuring instruments. Due to the development of electronic technology, the photoelectric conversion section of image recognition devices can now sense even extremely weak light, and has better brightness sensitivity than the human eye. It has come to be used regardless of size.

However, image recognition by such an image recognition device is inferior to the human eye in terms of reproduction of stereoscopic effect and syH ratio (signal to noise ratio). In particular, regarding the SIN ratio, the human eye has the ability to recognize images even when there is a background or noise of the same color, but conventional image recognition devices cannot recognize this. In the case of color image reproduction, it is possible for humans to distinguish between the reproduced images, but if the electrical signals from the image recognition device are to be used as they are for some kind of operation or control, there are various problems and it is impossible to realize this. I was in a similar situation.

The present invention has been made in view of the above, and an object of the present invention is to provide an image recognition device that can improve the SIN ratio of an image signal.

The present invention is characterized by an image-to-electrical converter that converts the intensity of polychromatic light into electrical signals, and a multiplication circuit that multiplies signals corresponding to red and blue among the electrical signals from the image-to-electrical converter. , a division circuit that divides the signals corresponding to the blue and yellow colors of the electric signal, and a second multiplication circuit that multiplies the output of the division circuit and the output of the multiplication circuit. The point is that the image is reproduced using the output of the second multiplication circuit.

A detailed explanation will be given below using an example shown in the drawings.

The figure is a block diagram of essential parts showing an embodiment of the image recognition device of the present invention. In FIG. 1, reference numeral 1 indicates an example of an image consisting of a blue mouth 1a and a blue noise 1b, and light from this image 1 is converted into an electrical signal by a color image pickup tube 2. In FIG.

In this case, the color image pickup tube 2 is scanned in the direction shown by the arrow in the image 1, and the electric signals corresponding to each color from the color image pickup tube 2 at that time are shown by 2α, 2b, and 2c, respectively.

Signals 2a, 2b, and 2c correspond to red, blue, and yellow, respectively, and their waveforms are also shown in the figure.

In this example, it is almost impossible to distinguish between the blue mouth 1cL and the noise 1b using the electric signal 2b corresponding to blue.

Therefore, in the present invention, the electric signals 2a and 2b are multiplied by the multiplier circuit 6, and the electric signals 2b and 20 are multiplied by the divider circuit 4.
The output signal 6α of the multiplier circuit B and the output signal 4a of the divider circuit 4 are multiplied by the second multiplier circuit 5.
The image 6 is reproduced using the output signal 5a. The waveforms of signals 3 (Z, 4a, and 5α) are also shown in the figure, and the signal 5α is an image signal with a sharp contrast compared to the signal 2b.

As explained above, according to the present invention, Sl of the image signal
This has the effect of improving the N ratio.

[Brief explanation of drawings]

The figure is a block diagram of essential parts showing an embodiment of the image recognition device of the present invention. 2: color image pickup tube, 6: multiplication circuit, 4: division circuit, 5: second multiplication circuit.

Claims (1)

[Scope of Claims] 1. An image-to-electrical converter that converts the intensity of polychromatic light into an electrical signal, and an image-to-electrical converter for converting the intensity of polychromatic light into an electrical signal, and an electric signal output from the image-to-electrical converter, in a device that converts an image into an electrical signal and reproduces it. A multiplication circuit that multiplies signals corresponding to red and blue, respectively, a division circuit that divides signals corresponding to blue and yellow, respectively, of the electrical signals, and an output of the division circuit and an output of the multiplication circuit. and a second multiplier circuit that performs multiplication, and the output of the second multiplier circuit is used to reproduce the image Ii! il image recognition device. 2. Claim 1, wherein the image-to-electrical converter is constituted by a color imaging W-4 or a color solid-state imaging device.
The image recognition device described in Section 1.