2 results about "Region growing" patented technology

The invention discloses an SAR (Synthetic Aperture Radar) image object detection method based on a Primal Sketch algorithm, mainly solving the problem that the traditional object detection method cannot realize the detection on different types of artificial objects. The implementing process of the SAR image object detection method based on the Primal Sketch algorithm comprises the following steps of: (1) obtaining a line segment aggregation expressing image structure information by applying the Primal Sketch algorithm to original SAR images; (2) defining and calculating the regularity degree and the regularity ratio of all line segments in the line segment aggregation; (3) determining a seed line segment aggregation for region growing; (4) executing the region growing by taking the seed line segments as the reference to obtain a candidate object region aggregation including artificial objects and natural objects; and (5) screening according to the characteristics of the line segments in the candidate object region aggregation to obtain final artificial objects, namely bridges, ports and buildings. Compared with the prior art, the detection method disclosed by the invention has the advantages of strong applicability, capability of realizing the detection on different types of artificial objects, exact detection result and low false alarm rate; and the invention is suitable for the SAR image object detection under the condition of multiple object types and different sizes of objects.

The invention relates to the technical field of medical image recognition, and provides a femoral head lesion volume measurement method based on image scanning, which comprises the following operation steps: acquiring CT and MRI image data in a Dicom format; carrying out smoothing processing on the CT and MRI images; establishing a three-dimensional model of a hip joint bony structure by utilizing CT image data in cooperation with region growing 3D calculation; establishing a lesion area model by using MRI image data in combination with an image fusion algorithm; and obtaining the volume of the femoral head part through an intersection algorithm of Boolean operation, and calculating the volume proportion of the lesion area at the femoral head. The objective of the invention is to provide a scientific measurement method for realizing positioning and size visualization of a lesion area, and more accurate data is provided for formulating a hip protection treatment scheme.