توضیحات

 این یک مونوگراف تکمیل بوده که دارای پرپوزل هم میباشد شما میتوانید با پیام گذاشتن در وتسپ ما آن را دریافت کنید

وتسپ:۰۷۹۹۱۱۸۸۳۱

مونوگراف به صورت تضمینی بوده که نیاز به تغیرات ندارد و قبلا دفاع و ارایه شده است

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What is an image?

Image of any other data form to be understood by humans It's better. Vision allows humans to understand the world around them. Image comprehension, image analysis, and computer vision aims to replicate the effect of human vision through computer perception and image comprehension. Before we can process an image, we must first understand the basics of an image. An image is defined by its dimensions (height and width) based on the number of pixels. For example, if a photo is 500×400 (height×width), the sum of all pixels in this image is 200j thousand pixels. It is usually in one of the following ways: Gray spectrum: This characteristic in a pixel has an integer between 0 and 255 (where zero represents completely black and 255 represents completely white). Red-green-blue (RGB): Each pixel consists of three integers between 0 and 255. (Each of the integers represents the intensity of red, green, and blue) RGBA: An extended version of RGB with alpha background added to indicate opacity of the image. The processing of digital images requires operations whose steps are clear and consistent and applied to each pixel of the image. In the first step of image processing, this operation is applied pixel to pixel. Once this step is complete, it enters the second stage and the output values of these operations can be measured for each pixel of the image.

History of image processing

For many people, digital image processing can seem like an anxiety-inducing issue. But there are actually only a few principles that you need to know to use graphic programs. Modern digital technology has made it possible to manipulate multidimensional signals in systems ranging from simple digital circuits to advanced parallel computers. So we will focus on the basic concepts of image processing. But what is image processing?The process of converting an image into a digital form and performing specific operations to extract information from it is called "image processing". Usually, the image processing process treats all images as 2D signals and applies predetermined methods of signal processing to them.

2. The five main types of image processing are:

3. Visualization: finding objects that cannot be seen in the image.

4. Recognition: distinguishing and identifying objects in the image.

5. Sharpen and restore: making an improved image from the original image.

6. Pattern recognition: measuring different patterns around the objects in the photo.

7. Retrieval: Searching for photos from a vast database of digital photos that are similar to the original photo.

Why do we need digital image processing?

Let's illustrate the importance of image processing with an example. As we know, satellites are a more useful tool for learning about the universe as well as planet Earth. Many of the decisions that are made are decisions that are not made directly by defaults; they are taken by us using satellite imagery. But satellite images are in RGB form, so we need to convert these images into the right color combination as well as the right format for image processing. Satellites transmit these images or any digital data that is processed by the computer. Now we have decided to describe the basic elements of image processing and the operations that are performed on images.Image Processing StepsWhat is Image Processing? Digital image processing covers a wide range of hardware, software and theoretical foundations. Image processing methods originate from two main application areas:

• Improve image data for human interpretation

• Image data processing for machine understanding

• In a complete Image Processing operation, from the initial stage when the image is entered into a software system to the last stage where a label is assigned to each specific object in the image; It includes several steps. The digital image processing steps are explained below.

Chapter two

Review of past studies

Artificial intelligence and deep learning have had a tremendous impact on various fields of technology in the last few years. One of the hottest topics in this industry is image processing and machine vision: machine vision is the ability of computers to "see" and interpret the world around them. Image processing means the things you have to do so that the computer can see and interpret images and video content better. Self-driving cars, traffic crime control cameras, facial recognition systems, etc. all rely on these two important areas of artificial intelligence to function properly. Now, in this article, we want to point out in detail what image processing is and what its uses are, and provide you with everything you need about image processing.

خلاصه تحقیق

Medical image processing involves the use and exploration of medical images and 3D datasets of human body parts, whether visible tissues or internal organs. These images are mainly from well-known medical scanners such as computed tomography (CT scan), magnetic resonance imaging (MRI), etc. It will be achieved. These processes can be influenced by pathology or pathology, the guidance of doctors and technicians in surgery, etc.

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