Considering the change of optical information on material surface, this paper proposes a useful notion called pixel-level
optical constants (POC). Through Fresnel equations, traditional optical constants (refractive index n and extinction
coefficient k ) can reflect photoelectric characteristics on material surface. Combining with Mueller calculus in
polarization optics, POC can describe the distrbution of photoelectric characteristics on material surface. POC is mainly
calculated by the decomposition of Mueller matrix which includes Fresnel amplitude, ratio of two orthogonal reflection
coefficient component P and variation of phase difference between incident light and reflected light Δ . With the
regularity of polarized light and the statistics of Mueller matrices, optical characteristics can be detailed to each pixel in
POC, which will independently show the distribution of polarization characteristics on material surface. And it can also be
approximately averaged to obtain traditional optical constants. So POC is significant to optical researches on material
surface.
In this paper, we propose to obtain the optical characteristics on material surface by Mueller calculus. In our research, a new metric for Mueller matrices, named R(M) , is defined to describe the polarization and depolarization characteristics on material surface by analyzing the constitute of Mueller matrices. The definition of R(M) is derived from the definition of the depolarization scalar metric for Mueller matrices named Q (M ) which can show the diattenuation and depolarization characteristics. With the advantage of Q (M ) , we assumed and proved the advantage of R(M) against the traditional metrics, the polarizance parameter P(M) and the depolarization index DI (M ) . This comparison can fully illustrate the value of R(M) . It is considered that P(M) and DI (M ) which cannot analyze the optical characteristics commonly to give a comprehensive evaluation. However, composed of P(M) and DI (M ) , R(M) can comprehensively reflect the optical signification which P(M) and DI (M ) represent. R(M) can be used to analyze different optical polarized characteristics on material surface with five bounds as totally depolarizing, partially depolarizing, totally polarizing, partially polarizing, nondepolarizing nonpolarizing. This means that R(M) can enable us to distinguish different materials by their different polarized characteristic on surface. With the definition of R(M) , it can be known that how the optical polarized characteristics work to change the polarized state of incident light on material surface.
This paper describes an infrared network video monitoring system based on Linux OS. Firstly, we design the hardware
system that we needed. Secondly, the software platform is introduced in this paper. The Linux operate system is applied
in our software solution. Finally, the application software design process is introduced in the paper. The system can be
used to encode the picture captured from infrared CCD, and then send the picture to another same embedded system to
decode the picture, and finally display it on the LCD and achieve the goal of the infrared video's remote monitoring. As
the infrared CCD would not be affect by the dim light, this monitoring system could be used all day long.
This paper describes the way to design an embedded network infrared video monitoring system based on Linux OS.
Firstly, we make a comparison of the hardware solution between some regular monitoring systems, and then design the
hardware system that we needed. Our hardware system uses the i.mx27 processor with the ARM9 core. Secondly, the
software platform is introduced in this paper. The Linux operate system is applied in our software solution. According to
the characteristic of Linux OS, we download uboot to the demo board, transplant the Linux kernel and jffs2 file system to
the embedded system, and briefly compile and download drivers. Finally, the application software design process is
introduced in the paper. The system can be used to encode the picture captured from infrared CCD, and then send the
picture to another same embedded system to decode the picture, and finally display it on the LCD and achieve the goal of
the infrared video's remote monitoring. As the infrared CCD would not be affect by the dim light, this monitoring system
could be used all day long.
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