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Our Abilities

4 June 2022
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Image Enhancement

Image Enhancement for example, the removal of blurring.

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Another example is increasing the effectiveness of the finger print, which can be achieved by using the histogram equalization of the image histogram.

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Of course, to recognize the finger a set of other processing on the image need because in order to get a quick comparison with the database the result must be binary.

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Image Enhancement can be done in order to improve the quality and resolution of the image for example in the below image, We use from edge detection.

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Camera Calibration

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Colorful Histogram Equalization

using colorful histogram equalization, the images that were made in low light can be improved.

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Automatic Gray Level Images Segmentation

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Auto-reading License Plate

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image Matching

image matching is one of the most widely used objects in artificial intelligence and machine vision that has been described in the "image matching " of this site.

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Image Forgery Detection

Image forensic is called all processes that are used to detect manipulation in the image.

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Frequency extraction from different vibrating object.

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Radial distortion correction of lens (the usage are in fish eyes cameras)

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Fusion of Images

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Correction perspective distortion (application in all cameras during geometric corrections)

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Elimination Background

The background separation is done for various goals, such as detecting and tracking movement or extracting text from the image.

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Delete the median shadow and nonlinear distortion of the scanned book

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Delete distracting areas image

Sometimes it is necessary to remain only an integrated area of the image, for example, for traffic and driving tasks we just interested to know what happens in the street.

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Watermarking

Placing a signature or watermark on the low significant bit (LSB) layer of the image to preserve the authority right of image and activate image forensic

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Face Recognition

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Ellipse Fitting

Ellipse fitting has many applications such as face detection and round object recognition.

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Elimination image magnification effects

After making each image larger (or zooming) due to the constraints of pixels, the block effects appear that due to the image resolution can be overcome this limitation by means of some methods.

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