HALCON 10: Powerful Tool for Medical Image Analysis
MVTec Software GmbH (Munich, Germany) presents its standard software for image processing HALCON 10 at VISION 2011 in Stuttgart also within the "Medical Discovery Tour". In medical engineering, different imaging methods are used. Amongst others, HALCON provides the following possibilities:
For medical imaging applications, color images are very important.
Here it is necessary to exactly classify colors and relating gray values. Therefore, highly powerful color classifiers are needed which also can handle complex multi-channel images. For this, HALCON provides multi-layer perceptron, support vector machine, or Gaussian mixture model. Primarily, these color classifiers are used in cytology, cell biology diagnostics, and pathology for tissue and cancer identification.
Identification of cells:
A reliable classification is the first step to identify complex structures like cells and dendrites. After this, additional structural methods such as edge detection and line detection are needed to determine the relationships between these structures. For this purpose, HALCON provides fast and reliable methods.
In medical technology, 3D imaging methods are getting more and more important. E.g., a drilled tooth can be scanned three-dimensionally by a laser line, and thus a 3D model of the inlay can be reconstructed. Afterwards, a robot countersinks an accurate dental prosthesis ready for use based on this model.
In the pharmaceutical industry, image processing primarily supports quality control during drug production like crystal growth control, liquid level control, or print control (OCV) of inserts and outer packing. Moreover, a pharmaceutical manufacturer can proof the color of pills or if a blister is unbroken and complete. With HALCON, many of these pharmaceutical industry applications are robustly implemented.