2) lung tumor image segmentation
肺肿瘤图像分割
3) tumor cells'image
肿瘤细胞图像
1.
With a view to preprocessing of cell images, feature extraction of tumor cells’image, a great deal of study is devoted and satisfying results are achieved.
本文主要围绕细胞图像的预处理及肿瘤细胞图像特征提取两方面进行了大量的研究,并取得了较好的前期研究成果。
4) breast tumor ultrasound image
乳腺肿瘤超声图像
1.
Furthermore, based on the grayscale distribution characteristics of the breast tumor ultrasound images and on the hypothesis of piecewise constant in the C-V model, a semiautomatic segmentation flow has been presented, in which the rough contour is sketched first, and then a subimage would be obtained.
针对乳腺肿瘤超声图像灰度分布的特点和C-V模型分段常量的假设,提出了手工勾画粗略边界,再划分子图进行分割的半自动分割流程,不仅提高了分割准确性,同时也进一步提高了分割效率。
5) The thermal characteristic of breast tumor
乳腺肿瘤热像图特征
补充资料:高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条