Abstract There are many unavoidable noise interferences in image capturing and transmission. In order to make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt & pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many... There are many unavoidable noise interferences in image capturing and transmission. In order to make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt & pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many wavelet threshold denoising algorithms which include global threshold denoising, Maxmin threshold denoising, and BayesShrink threshold denoising. Besides, we make a comparative analysis for these denoising methods. The experimental result shows that the wavelet images denoising algorithm based on Gaussian mixture model has the best performance than other threshold denoising methods in both subjectivity and objectivity. Read More Read Less

Abstract With the development of photoelectric technology and single-chip microcomputer technology, the objective (automatic) optometry technology is becoming more and more mature. This paper proposed a presbyopia optometry method based on diopter regulation and CCD (Charge Couple Device) imaging technology and, in the meantime, designed the light path of the measurement system. This method projects a test figure to the eye... With the development of photoelectric technology and single-chip microcomputer technology, the objective (automatic) optometry technology is becoming more and more mature. This paper proposed a presbyopia optometry method based on diopter regulation and CCD (Charge Couple Device) imaging technology and, in the meantime, designed the light path of the measurement system. This method projects a test figure to the eye ground of tested eye and then the reflected image from eye ground is detected by CCD. At last the image is automatically identified by computer by which the far point and near point diopter are determined and thus the glasses parameter is calculated. This is a full automatic objective optometry method, which eliminates subjective factors of the tested subject. This method can acquire the glasses parameter of presbyopia accurately and quickly, and can be used to measure the glasses parameter of hyperopia, myopia and astigmatism. Read More Read Less

Abstract This paper presents the Nervous System as a digital communication protocol. The Nervous System is a network that allows two or more subnetworks to be able to communicate between them; it transmits information (afferent or efferent) as structured Messages. The structure of a Message is composed by a header followed of a payload. The header indicates to receptor the address... This paper presents the Nervous System as a digital communication protocol. The Nervous System is a network that allows two or more subnetworks to be able to communicate between them; it transmits information (afferent or efferent) as structured Messages. The structure of a Message is composed by a header followed of a payload. The header indicates to receptor the address where the information needs to be decoded (Broadmann area). The payload contains the information about the stimulus. To validate this proposal, the Engineers acquire raw bioelectrical signals in-vivo from sciatic nerve of the rats. The surgical protocol was supervised by CICUAL No. 0133-15. Read More Read Less

Abstract There are many unavoidable noise interferences in image capturing and transmission. In order to make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt & pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many... There are many unavoidable noise interferences in image capturing and transmission. In order to make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt & pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many wavelet threshold denoising algorithms which include global threshold denoising, Maxmin threshold denoising, and BayesShrink threshold denoising. Besides, we make a comparative analysis for these denoising methods. The experimental result shows that the wavelet images denoising algorithm based on Gaussian mixture model has the best performance than other threshold denoising methods in both subjectivity and objectivity. Read More Read Less

Abstract With the development of photoelectric technology and single-chip microcomputer technology, the objective (automatic) optometry technology is becoming more and more mature. This paper proposed a presbyopia optometry method based on diopter regulation and CCD (Charge Couple Device) imaging technology and, in the meantime, designed the light path of the measurement system. This method projects a test figure to the eye... With the development of photoelectric technology and single-chip microcomputer technology, the objective (automatic) optometry technology is becoming more and more mature. This paper proposed a presbyopia optometry method based on diopter regulation and CCD (Charge Couple Device) imaging technology and, in the meantime, designed the light path of the measurement system. This method projects a test figure to the eye ground of tested eye and then the reflected image from eye ground is detected by CCD. At last the image is automatically identified by computer by which the far point and near point diopter are determined and thus the glasses parameter is calculated. This is a full automatic objective optometry method, which eliminates subjective factors of the tested subject. This method can acquire the glasses parameter of presbyopia accurately and quickly, and can be used to measure the glasses parameter of hyperopia, myopia and astigmatism. Read More Read Less

Abstract This paper presents the Nervous System as a digital communication protocol. The Nervous System is a network that allows two or more subnetworks to be able to communicate between them; it transmits information (afferent or efferent) as structured Messages. The structure of a Message is composed by a header followed of a payload. The header indicates to receptor the address... This paper presents the Nervous System as a digital communication protocol. The Nervous System is a network that allows two or more subnetworks to be able to communicate between them; it transmits information (afferent or efferent) as structured Messages. The structure of a Message is composed by a header followed of a payload. The header indicates to receptor the address where the information needs to be decoded (Broadmann area). The payload contains the information about the stimulus. To validate this proposal, the Engineers acquire raw bioelectrical signals in-vivo from sciatic nerve of the rats. The surgical protocol was supervised by CICUAL No. 0133-15. Read More Read Less