20-09-2017, 11:48 AM
An improved CBA algorithm is used to classify the images as Normal or Abnormal, based on the set of rules generated during the training phase. The analysis of the image is the extraction of significant information from the images; mainly from digital images using digital image processing techniques. Image analysis tasks can be as simple as reading bar code labels or as sophisticated as identifying a person from your face.
Computers are indispensable for the analysis of large amounts of data, for tasks requiring complex calculations, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent imaging device, especially for extracting high level information, and for many applications - including medicine, security and remote sensing - human analysts can not yet be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models.
Computer Image Analysis contains largely the fields of computer or machine vision, and medical imaging, and makes intensive use of pattern recognition, digital geometry and signal processing. This field of computer science was developed in the 1950s in academic institutions such as MIT A.I. Laboratory, originally as a branch of artificial intelligence and robotics.
It is the quantitative or qualitative characterization of two-dimensional (2D) or three-dimensional (3D) digital images. 2D images are, for example, to be analyzed in computer vision, and 3D images in medical images. The camp was established in the years 1950-1970, for example, with pioneering contributions from Azriel Rosenfeld, Herbert Freeman, Jack E. Bresenham or King-Sun Fu.
Computers are indispensable for the analysis of large amounts of data, for tasks requiring complex calculations, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent imaging device, especially for extracting high level information, and for many applications - including medicine, security and remote sensing - human analysts can not yet be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models.
Computer Image Analysis contains largely the fields of computer or machine vision, and medical imaging, and makes intensive use of pattern recognition, digital geometry and signal processing. This field of computer science was developed in the 1950s in academic institutions such as MIT A.I. Laboratory, originally as a branch of artificial intelligence and robotics.
It is the quantitative or qualitative characterization of two-dimensional (2D) or three-dimensional (3D) digital images. 2D images are, for example, to be analyzed in computer vision, and 3D images in medical images. The camp was established in the years 1950-1970, for example, with pioneering contributions from Azriel Rosenfeld, Herbert Freeman, Jack E. Bresenham or King-Sun Fu.