共查询到18条相似文献,搜索用时 46 毫秒
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基于超光谱图像的舌体分割算法 总被引:4,自引:1,他引:3
舌体分割是实现中医舌诊现代化的一个前提工作,分割质量直接影响舌象诊断的性能.然而由于舌的生理特征比较复杂,舌的形态以及舌与嘴唇的连接各不相同,使得舌体分割比较困难.本文采用超光谱成像系统代替数码相机采集舌图像,并借鉴光谱角度匹配算法,发展了基于超光谱图像的舌体分割算法.这一算法通过光谱角度匹配算法将超光谱舌图像立方体转换成光谱角度立方体,然后采用一维脉冲波形的边沿信息检测出边缘信息,最后实现了舌体的分割.试验表明,这种基于超光谱图像的舌体分割算法可以较为准确地将舌体分割出来. 相似文献
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基于近红外光谱的舌诊疾病识别的研究 总被引:1,自引:0,他引:1
为了对中医舌诊的客观化研究,提出了应用近红外光谱分析技术快速无创的对健康人、冠心病、糖尿病和肝炎患者的不同人群的舌诊近红外光谱进行识别的新方法.首先对98个样本光谱数据进行归一化处理,用主成分分析(PCA)方法得出的累计贡献率达99.88%的前8个主成分作为广义回归神经网络(GRNN)的输入变量,建立了舌诊近红外光谱的识别模型.利用该模型分别选取了18个不同人群的近红外光谱数据共72个样本用于神经网络的训练,余下的26个用于预测,当光滑因子为5/8时预测的最大误差为0.17342,最小误差为0,获得了较理想的预测精度.实验结果表明用PCA和GRNN相结合的方法对舌诊近红外光谱与疾病之间建立了较好的关联,对加强中医舌诊的客观化起到了很好的促进作用,为疾病的诊断提供了一种新的方法. 相似文献
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在中医舌诊客观化研究进程中,以2维舌图像为基础进行分析所获得的舌体特征信息有限,制约了舌诊的客观化发展。在将光度立体法用于静态舌模型表面3维重建的可行性研究基础之上,为了对真实舌体表面进行3维重建,该文设计一种舌体3维动态信息采集系统,用于舌像采集;然后采用光度立体法依次求出舌体表面的法向量、纹理反射率和深度信息,并基于DirectX进行3维显示;最后针对舌体表面高光区域对重建结果的影响,采用高光剔除算法剔除高光。经高光剔除后的重建结果和原来相比,在重建精度和鲁棒性等方面都有更好的表现。经实验证实,该重建方法的平均相对误差约为7.24%,重建结果可形象地表达舌体的表面形态和齿痕等细节信息,可辅助中医进行诊断。 相似文献
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概率神经网络用于舌诊的近红外光谱分类 总被引:1,自引:1,他引:0
为了快速无创客观地检测舌体所携带的病理信息,提出了基于概率神经网络舌诊归一化反射率近红外光谱分类诊断模型。采集了健康人、脂肪肝患者、肝炎患者三类受试者舌尖的光谱数据,进行归一化反射率预处理,各获得32个样本数据,随机从三类受试者各抽取24个舌尖的光谱数据用于建模,其余的24个用于预测,并分析了径向基函数的扩展速度(SPREAD)对网络的影响。得出SPREAD在0.0065~0.0077之间取值时对网络模型的预测效果和泛化能力较好,用该模型对24个预测样本进行预测,其正确率为95.8%。实验结果表明利用概率神经网络对舌诊近红外光谱的分类是可行的,说明舌表面的光谱信息能客观的反映人体的病理信息,利用此方法对疾病的快速无创地进行初步的筛查成为可能。 相似文献
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中医舌像分析仪 总被引:3,自引:0,他引:3
《电子学报》2002,30(2):244
北京工业大学信号与信息处理研究室与北京市中医院合作开发的中医舌像分析仪已在北京市中医院投入使用 ,并在临床应用中得到了专家及用户的好评 .其中部分关键技术已申请国家专利 .中医舌像分析仪是一种无创、定量和客观的中医舌像智能分析仪器 ,为中医的临床诊断、教学和研究服务 .它能够采集、察看、存储数字化彩色舌图像 ,实现彩色舌图像的真实重现 ,并具有自动分析常见舌像特征 (舌色、苔色、苔厚、湿度、裂纹等 )的功能 .中医舌像分析仪可以有效地提高舌诊的准确度、客观性和工作效率 .中医舌像分析仪在标准化的采集环境下 ,采集舌图像… 相似文献
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基于图像处理的中医舌像特征分析方法 总被引:21,自引:0,他引:21
提出一种基于图像处理的舌像检测与分析方法,将传统中医舌诊中舌的特征进行数字化。应用了2D Gabor小波变换和色度信息较为精确地检测出舌体区域;提出了运用统计方法标定舌度和舌苔点以及确定其颜色的算法。舌苔的厚度通过色度信息和2D Gabor小波系数能量(GWTE)进行量化。分析了在不同相位时,有无舌纹情况下GWTE呈现出的不同特性,根据这一特点用不变矩描述了舌区域的GWTE,从而对舌纹的多少做出了定性的说明。实验表明,提出的相关算法行之有效,得到了较好的结果。 相似文献
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Vora P.L. Farrell J.E. Tietz J.D. Brainard D.H. 《IEEE transactions on image processing》2001,10(2):307-316
This paper describes the design and performance of an image capture simulator. The general model underlying the simulator assumes that the image capture device contains multiple classes of sensors with different spectral sensitivities and that each sensor responds in a known way to irradiance over most of its operating range. The input to the simulator is a set of narrow-band images of the scene taken with a custom-designed hyperspectral camera system. The parameters for the simulator are the number of sensor classes, the sensor spectral sensitivities, the noise statistics and number of quantization levels for each sensor class, the spatial arrangement of the sensors and the exposure duration. The output of the simulator is the raw image data that would have been acquired by the simulated image capture device. To test the simulator, we acquired images of the same scene both with the hyperspectral camera and with a calibrated Kodak DCS-200 digital color camera. We used the simulator to predict the DCS-200 output from the hyperspectral data. The agreement between simulated and acquired images validated the image capture response model and our simulator implementation. We believe the simulator will provide a useful tool for understanding the effect of varying the design parameters of an image capture device. 相似文献
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Visual sensor technologies have experienced tremendous growth in recent decades, and digital devices are becoming ubiquitous. Digital images taken by various imaging devices have been used in a growing number of applications, from military and reconnaissance to medical diagnosis and consumer photography. Consequently, a series of new forensic issues arise amidst such rapid advancement and widespread adoption of imaging technologies. For example, one can readily ask what kinds of hardware and software components as well as their parameters have been employed inside these devices? Given a digital image, which imaging sensor or which brand of sensor was used to acquire the image? How was the image acquired? Was it captured using a digital camera, cell phone camera, image scanner, or was it created artificially using an imageediting software? Has the image undergone any manipulation after capture? Is it authentic, or has it been tampered in any way? Does it contain any hidden information or steganographic data? Many of these forensic questions are related to tracing the origin of the digital image to its creation process. Evidence obtained from such analysis would provide useful forensic information to law enforcement, security, and intelligence agencies. Knowledge of image acquisition techniques can also help answer further forensic questions regarding the nature of additional processing that the image might have undergone after capture. 相似文献
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设计并实现了一套基于轻小型直升无人机的高光谱遥感成像系统。该系统包括高光谱成像,采集存储,姿态和位置测量及地面监视控制等部分。在烟台和扬州分别进行了两次飞行实验,获取了高分辨率的高光谱数据。分析了该系统在无人机平台上工作的性能。对实验数据分析后,发现平台姿态和位置的变化对地物目标的光谱信息无明显的影响,但对几何特性有明显影响,实验中平台的振动导致图像在横向有4个像元的抖动。最后利用POS数据对图像数据进行了几何校正,并分析了校正误差的来源。 相似文献
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Computerized tongue diagnosis based on Bayesian networks 总被引:7,自引:0,他引:7
Tongue diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experience-based nature, traditional tongue diagnosis has a very limited-application in clinical medicine. Moreover, traditional tongue diagnosis is always concerned with the identification of syndromes rather than with the connection between tongue abnormal appearances and diseases. This is not well understood in Western medicine, thus greatly obstruct its wider use in the world. In this paper, we present a novel computerized tongue inspection method aiming to address these problems. First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular digital image processing techniques. Then, Bayesian networks are employed to model the relationship between these quantitative features and diseases. The effectiveness of the method is tested on a group of 455 patients affected by 13 common diseases as well as other 70 healthy volunteers, and the diagnostic results predicted by the previously trained Bayesian network classifiers are reported. 相似文献
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通常传统自动气象站只能采集常规的气象数据,如:温度、湿度、风力等,而无法采集自动气象站当地的高分辨率图像信息,通过对奥林巴斯数码相机进行研究,采用奥林巴斯提供的CAMEDIA SDK 3.3开发套件,设计了一套基于高分辨数码相机的自动气象站图像采集和传输系统。系统通过自动站的高分辨率数码相机远程采集图像,并通过网络传输到数据中心,实现了自动气象站对当地图像信息的采集与传输。着重介绍分析了数码相机在系统中的应用,并实现了图像数据的自动采集功能。 更多还原 相似文献
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多特征融合技术应用于中医舌象分析的初步研究 总被引:6,自引:0,他引:6
本文对中医舌象信息的融合方案进行了初步探讨.对于舌象多特征融合,通常认为可采用特征层、决策层或特征层与决策层联合融合等不同方案.本文进行有关算法实验的结果表明,由于诸多因素影响,这些方案对于舌象多特征融合难以获得理想的效果.我们认为基于粗糙集理论的方法在舌象多特征确定中医证候方面可以获得比较好的结果,并进行了初步探讨.采用粗糙集理论可根据舌象特征确定部分证候,对于不能确定证候的样本可获得可能的结果,这在一定程度上避免了误判,对于中医辅助诊断是非常重要的. 相似文献