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Introduction to Basic Concepts in Image Analysis
What is Image Analysis?
Image analysis is a field within computer vision that focuses on extracting meaningful information from digital images. It involves processing images to identify and measure various characteristics of the objects and scenes depicted. Image analysis is widely used in various applications such as medical imaging, surveillance, autonomous vehicles, and quality control in manufacturing.
Pixels: The Building Blocks of Digital Images
Definition: A pixel, short for picture element, is the smallest controllable element of a digital image. It represents a single point in an image and is characterized by its location and color or intensity value.
When capturing or storing a digital image, it is composed of a grid of pixels, arranged in rows and columns. The number of pixels in an image determines its resolution. Higher resolution images have more pixels, resulting in greater detail and clarity.
Total number of pixels:
The total number of pixels in an image is calculated by multiplying the number of pixels in width by the number of pixels in height. For example, an image with a width of 800 pixels and a height of 600 pixels would have a total of 480,000 pixels (800 x 600).
It is worth mentioning that the total number of pixels is also referred to as the image’s pixel count or resolution. The pixel count is often expressed using the term “megapixels” (MP), which is equivalent to one million pixels.
Understanding the total number of pixels is crucial when it comes to image analysis tasks, such as image resizing, printing, or determining the required storage space for storing images.
In conclusion, pixels are the fundamental building blocks of digital images. The total number of pixels in an image determines its resolution and plays a vital role in various image analysis applications. Having a grasp of this basic concept is essential for anyone delving into the field of image analysis.
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