As the improvement of people's living standard, more and more is required of the superior quality dairy products. An important indicator that gets more and more attention to measure the quality of dairy products is ingredient content of nutrients in dairy products. One of main component of milk, the concentration of milk fat is of great significance for light scattering measurements. The photomicrograph of the different homogeneous state of milk fat solution with is different concentrations obtained by using high magnification optical microscope. And the particle size distribution of different homogeneous state and different concentrations of milk fat solution are analyzed. Based on the principle of light scattering technique for the detection of milk composition, as well as analysis of the physical and chemical properties of milk fat solution, the energy spectrum, absorption spectrum, the transmittance spectrum of the different homogeneous state and the different concentrations of milk fat solution are determined by the dual-beam spectrophotometer (TJ270-60). Then the effects of fat solution concentration, particle size distribution and homogeneous state on the light scattering intensity are analyzed. Furthermore, it is derived the relationships among milk fat solution concentration with energy, absorption and transmittance based on experimental results. This study will bring a progress in processing quality control of product, and contribute to promote the development of China's dairy industry for bringing practical significance and great economic benefits.
This paper presents a method based on 3D invariant features for the recognition of three-dimensional object. In this
method, the projective invariant features are adopted as the representative of the 3D invariance. 3D invariant features are
the features that will not change with viewpoints or poses, so they can be used to recognize three-dimensional objects.
Exact point-line matching is achieved in use of the point-line characteristics obtained. On this basis, the views relation is
established by the 2D projective transformation, and many kinds of 3D invariant features of complicated spatial
structures can be neatly extracted by combining real elements and virtual elements. Therefore the three-dimensional
object can be recognized. The results indicate that the method could greatly satisfy three-dimensional object recognition.
KEYWORDS: Cameras, Digital Light Processing, Projection systems, 3D metrology, CCD cameras, Commercial off the shelf technology, 3D image processing, Digital micromirror devices, RGB color model, Imaging systems
A 3D measuring system on structure light which uses color-encoded technique and digital projection technique to realize 3D measuring is introduced. In this measuring system, a color-encoded pattern that is created by a new method is created by software on a computer and then projected to an object by a digital projection system controlled by the computer. The image of the object is captured by a CCD color digital camera position at an angle different from that of the digital projection system. The color of each pixel determined by the proportion of its primary color, red, green, and blue (RGB) has a one-to-one correspondence with the projection angle. Decoding and calculating for the color image captured, the 3D coordinates of the points on the object surface can be obtained.
KEYWORDS: Commercial off the shelf technology, Cameras, Digital Light Processing, Projection systems, 3D metrology, 3D image processing, Imaging systems, Digital imaging, Computing systems, CCD cameras
A color-encoded technique for 3D measurement is presented in this paper. In this technique, a color pattern that is composed of RGB components is created by software on a computer screen and projected to an object by a digital light processing, which is controlled by the computer. The image of the object is captured by a CCD color digital camera positioned at an angle different from that of the digital projection system. The color of each pixel of the image has a one-to-one correspondence with the projection angle. The 3D depth map of the object is obtained by way of computer decoding and calculating of the color image captured. This paper mainly introduces the errors analysis and the computer simulation method. The results of the example shows that the relatively errors of the 3D measuring system are smaller than 1%. Simulations have been performed and the results validate the method.
Accurate grading is necessary to ensure the quality of tiles. The quantity of color difference is an important base for grading tiles. For this reason it is necessary to quantify the color differences of tiles. This paper presents a new method of using computer vision technology to measure color differences tiles. It uses CCD image sensors to obtain color images of tiles. The images are then processed with computer to produce the RGB of the color image. The image is then converted from RGB space to CIE1976L*a*b* color space. The character colors are then obtained. The color differences is then determined based on the character colors. A measure system and the color difference computing software were designed. Results from experiments were also given in this paper that color difference values with the different color index are larger than the same color index. The experimental results show that this measuring method can be used for real-time measuring for ceramic tiles.
KEYWORDS: Cameras, Digital Light Processing, Projection systems, 3D metrology, Imaging systems, Digital imaging, 3D image processing, Computing systems, Digital micromirror devices, Structured light
A color-encoded technique for 3D measurement is presented in this paper. In this technique, a color pattern that is composed of RGB components is created by software on a computer screen and projected to an object by a digital light processing, which is controlled by the computer. The image of the object is captured by a CCD color digital camera positioned at an angle different from that of the digital projection system. The color of each pixel of the image has a one-to-one correspondence with the projection angle. The 3D depth map of the object is obtained by way of computer decoding and calculating of the color image captured. The 3D measuring system and its parameters are designed based on the principle of color-encoded technology.
This paper describes a laser scanning range finder that may produce a real time space encoding pattern. Laser diode is modulated by a programmable controller. So a space encoding sequential constructive laser beam is employed as an active illuminating source. Using less frames of space encoding patterns to produce a range image with high resolution is the main goal of this study. The calculation of 3D coordinates of each point on the measured object is explained briefly.
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