Segmentation has a great importance in digital image analysis. It is also one of the most difficult low-level image analysis tasks. Many image processing application apply segmentation as primary step. Image segmentation serve a variety of applications, such as handwritten character identification, medical image analysis as breast cancer detection, in infrared image, automatic target recognition, radar image application, and in pattern recognition application...etc. The quality of the segmentation process affects the final result of previously mentioned application. In this chapter, the background and objectives of this research are reviewed besides presenting the problem definition, and finally the thesis outline.
Background
Images …show more content…
So the need for imaging system that covers almost the entire
EM spectrum is raised. Imaging systems are physical device that generate image from source that mostly are not within human visual band, including video camera, x-ray devices, electron microscopes, radar, ultrasound, ... etc. A digital image is a representation of a two-dimensional image using ones and zeros (binary). It may be of vector or raster type. Without qualifications, the term
"digital image" usually refers to raster images also called bitmap images.
Raster images have a finite set of digital values, called picture elements or pixels.
The digital image contains a fixed number of rows and columns of pixels. Pixels are the smallest individual element in an image, holding quantized values that represent the brightness of a given color at any specific point.
Typically, the pixels are stored in computer memory as a raster image or raster map, a two-dimensional array of small integers. These values are often transmitted or stored in a compressed form.
Raster images can be created by a variety of input devices and techniques, such as digital cameras, scanners, coordinate-measuring machines, seismographic …show more content…
Digital image processing refers to processing digital images by means of a digital computer. It is subcategory or field of digital signal processing. Digital image processing has many advantages over analog image processing. It is the act of examining the image for the purpose of identifying the object and judging their significance. Computer vision and image analysis are two examples of related areas to image processing. We can differentiate between them by the input and the output. In image processing the input and the output are images, while in other application may be features, numbers or any kind of information. On the other hand the ultimate goal of computer vision is to use computers to emulate human vision, including learning and being able to make inferences and take actions based on visual inputs. This area itself is a branch of artificial intelligence (AI) whose objective is to emulate human intelligence.
Computerized processes can be categorized into three levels of processing, low-, mid-, and high-level processes [1]. Low-level processes involve primitive operations such as image preprocessing to reduce noise, contrast enhancement, and
Background
Images …show more content…
So the need for imaging system that covers almost the entire
EM spectrum is raised. Imaging systems are physical device that generate image from source that mostly are not within human visual band, including video camera, x-ray devices, electron microscopes, radar, ultrasound, ... etc. A digital image is a representation of a two-dimensional image using ones and zeros (binary). It may be of vector or raster type. Without qualifications, the term
"digital image" usually refers to raster images also called bitmap images.
Raster images have a finite set of digital values, called picture elements or pixels.
The digital image contains a fixed number of rows and columns of pixels. Pixels are the smallest individual element in an image, holding quantized values that represent the brightness of a given color at any specific point.
Typically, the pixels are stored in computer memory as a raster image or raster map, a two-dimensional array of small integers. These values are often transmitted or stored in a compressed form.
Raster images can be created by a variety of input devices and techniques, such as digital cameras, scanners, coordinate-measuring machines, seismographic …show more content…
Digital image processing refers to processing digital images by means of a digital computer. It is subcategory or field of digital signal processing. Digital image processing has many advantages over analog image processing. It is the act of examining the image for the purpose of identifying the object and judging their significance. Computer vision and image analysis are two examples of related areas to image processing. We can differentiate between them by the input and the output. In image processing the input and the output are images, while in other application may be features, numbers or any kind of information. On the other hand the ultimate goal of computer vision is to use computers to emulate human vision, including learning and being able to make inferences and take actions based on visual inputs. This area itself is a branch of artificial intelligence (AI) whose objective is to emulate human intelligence.
Computerized processes can be categorized into three levels of processing, low-, mid-, and high-level processes [1]. Low-level processes involve primitive operations such as image preprocessing to reduce noise, contrast enhancement, and