image segmentation造句
31. Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.
32. This image representation method has many advantages. It can reduce redundancy, and can avoid the difficulty of image segmentation and object-oriented descriptions semantically .
33. A new approach of object description after image segmentation to obtain objects' feature is introduced.
34. Simulation results preferably indicate that, under the estimated a prior probability, an approach to image segmentation is superiority.
35. But most of the past research based on monochrome image segmentation.
36. To improve the real-time performance for visual navigation of the mobile robot, a parallel color image segmentation algorithm using peer group filter(PGF) and fuzzy membership is studied.
37. Secondly, a cluster validity function, named modified partition fuzzy degree, is introduced for realization of automatically determining the optimal category number of image segmentation.
38. This paper aims to do some applicational simulation and algorithm improvement research on medical image segmentation algorithms.
39. Based on the laws of Gestalt psychology, a geometric active contour model for image segmentation is proposed in this paper.
40. A new method for natural color image segmentation is proposed. The phase congruency is applied to detect edge and obtain the major geometric structures in an image.
41. Image segmentation which subordinates digital image processing takes significant impact on analyzing knitted fabric, especially on pattern segmentation and recognition of weft jacquard knitted fabric.
42. Image segmentation is the basic and challengeable problem in image processing field.
43. An image segmentation method based on the velocity feature vector of moving target was proposed.
44. Finally, the particle size is measured based on the image segmentation and circularity theory.
45. Region-based Image Retrieval(RBIR) is a sub-branch of Contentbased Image Retrieval(CBIR). It employs image segmentation to extract local visual feature and retrieves images by similarity matching.
46. To improve the technology of the textile CAD, we proposed a new way of textile image segmentation by the minimum error Bayes decision theory based on the semi-supervised clustering.
47. This thesis studies the digital image processing, focusing on image segmentation techniques and image representation and description.
48. The algorithm could improve the effect of image segmentation through region merging and smooth after original segmentation.
49. This paper discusses the data parallel algorithm and its implementation on region growing image segmentation, the correctness is proved, and the performance is also analyzed.
50. The primary contents of this thesis are: 1 Image segmentation pretreatment.
51. Image segmentation is the base of image analysis image recognition and the image understanding.
52. Isoperimetric algorithm does well in image segmentation, and it is a fast graph partitioning method.
53. As the effect of tomography used in industry and medicine fields becoming more markedly, image segmentation becomes a challengeable research subject in these fields.
54. This paper proposes a novel algorithm about image segmentation based on the vision lateral inhibition model and statistics of consecutive fields.
55. Multiple-objects contour extraction is an important area in image segmentation.
56. A novel algorithm based on watershed for color image segmentation was presented.
57. The geodesic active contour model has been wide used in image segmentation for its computational stability.
58. In the candidate building area searching step, an image segmentation method based on grey level co-occurrence matrix (GLCM) is adopted to get candidate building areas in an urban image.
59. "Three-D reconstruction, massive-scale image segmentation ..." he says. "People can do these things in almost real time now."
60. An image segmentation method based on edge detection and region growing is proposed in view of the features of IR image.
123