Introduction

The general term “real time image processing" refers to a computer discipline wherein digital images are the main data object. Real time image processing is continuous and also called interactive processing. It is having deadlines and predictable response time with soft real-times, missing a deadline indicates that the system is not working at its peak.

This type of processing can be broken down into several sub-categories, including: compression, image enhancement, image filtering, image distortion, image display and coloring.

Image processing is a physical process used to

convert aimage signal, either digital or analog, into a physical image. The actual output itself can be an actual physical image or the characteristics of an image.

The most common type is photography, in which an

image is captured using a camera to create a digital or analog image. In order to produce a physical picture, the image is processed using the appropriate technology based on the input source type.

PIXEL NEIGHBOR DIFFERENCES

EXAMPLES RELATED TO IMAGE

PROCESSING

BRIGHTNESS THRESHOLD

2D IMAGE MAPPED TO 3D

The visual systems of humans and

higher animals exhibit a remarkable

ability to recognize seen objects robustly

and with high speed, tolerant of many

variances

In this project, a large hierarchical

neural network for object recognition was

designed and implemented on a

nueromorphic hardware system.

Image-to-image transformations

Image-to-information transformations

Information-to-image transformations

TYPES OF IMAGE PROCESSING

Enhancement (make image more useful, pleasing)

Restoration

Egg. deblurring ,grid line removal

Geometry (scaling, sizing , Zooming, Morphing one object to another).

Image statistics (histograms)

Histogram is the fundamental tool for analysis and image processing

Image compression

Image analysis (image segmentation, feature extraction, pattern recognition)

computer-aided detection and diagnosis (CAD)

Decompression of compressed image data.

Reconstruction of image slices from CT or MRI raw data.

Computer graphics, animations and virtual reality (synthetic objects).

We are having an efficient tool that is ,named as

T-EXSPEED which is a powerful image processing software

that can detect other complex trajectory-based violations like

driving in the wrong direction, banned turning and

overtaking, insufficient distance between vehicles, etc.

Based on special video cameras, it does not require

additional sensors (inductive loops, radars or lasers). It is

available in both vehicle-mounted and tripod options or as a

stationary system. The T-EXSPEED acquisition unit is equipped with two infrared,

sensitive and one-colour megapixel video cameras for vehicle 3D shape

reconstruction, speed measurement and license plate reading over two

lanes, in the same direction of travel or in the opposite direction. Its

infrared lighting system does not disturb drivers

SPEED CONTROLLERS

Video-based interfaces for

human computer interaction.

The performance requirements of image processing applications have continuously increased the computing power of implementation platforms, especially when they are executed under real time constraints.

The real time applications may consist of different image standards, or different algorithms used at different stages of the processing chain.

The computing paradigm using reconfigurable architectures promises an intermediatetrade-off between flexibility and performance.

1. Customer can see the results immediately. 2. Allows you to automate your business. This is especially important if your time is very limited. 3. Real-time image processing also helps eliminate customer errors. 4. Real-time image processing is fast . 5. Real-time image processing is continuous.

Causes many errors when many people code together on the same document. There are chances that they use the same variables for different tasks.

In some cases infrared cameras used to detect the object having low pixel capability. Therefore object identification fails.

In electrical engineering and computer science,

image processing is any form of signal

processing for which the input is an image, such

as photographs or frames of video; the output of

image processing can be either an image or a set

of characteristics or parameters related to the

image. Most image-processing techniques involve

treating the image as a two-dimensional signal

and applying standard signal-processing

techniques to it.