Abstract: An automatic search system and a method for assisting a mobile apparatus to search for a matching device are provided. The automatic search method includes the following steps. First, N sets of consecutive images are captured at N time points respectively when the mobile apparatus moves along a first direction. The N is a positive integer greater than 1. Next, the N sets of consecutive images are received, and several image features of the N sets of images are compared, so as to determine accordingly whether the matching device exists in the first direction. If it is determined that the matching device exists, a route signal and an adjustment signal are generated. Next, according to the route signal, the mobile apparatus is controlled to move to an adjacent position of the matching device. Also, according to the adjustment signal, the mobile apparatus is controlled to be combined with the matching device.

Abstract: A method for measuring the thickness of a first absorbing material in the presence of a second absorbing material is provided. The method comprises the steps as follow. The thickness (tS) of the first absorbing material is fixed and the thickness of the second absorbing material is varied to obtain a calibration standard. The intensity of the transmissive energy passing through the calibration standard is detected by acquiring multiple pairs of image data comprising a foreground value (logn(Ic+s)) and a background value (logn(Ic)). The thickness (tSi) of the first absorbing material is changed and the above steps are repeated to obtain sets of image data. A fitting constant Id is determined to describe each set of the intensity data as ? s ? ? t S = log n ? ( I c + I d ) - log n ? ( I c + s + I d ) .

Abstract: A method for measuring the thickness of a first absorbing material in the presence of a second absorbing material is provided. The method comprises the steps as follow. The thickness (tS) of the first absorbing material is fixed and the thickness of the second absorbing material is varied to obtain a calibration standard. The intensity of the transmissive energy passing through the calibration standard is detected by acquiring multiple pairs of image data comprising a foreground value (logn(Ic+s)) and a background value (logn(Ic)). The thickness (tSi) of the first absorbing material is changed and the above steps are repeated to obtain sets of image data. A fitting constant Id is determined to describe each set of the intensity data as ? s ? ? t S = log n ? ( I c + I d ) - log n ? ( I c + s + I d ) .

Abstract: A detection method of a moving object is provided. The method includes: using a left lens system to capture a first and a second left image, and using a right lens system to capture a first right image and a second right image; subdividing the first right image into plural color blocks; selecting N control points on the first left image, and searching M first corresponding points in the first right image; calculating first depth information according to the control points and the first corresponding point, and calculating a possible area in the second right image to search P second corresponding points; using the first corresponding points and the second corresponding points to calculate a two-dimensional planar conversion parameter, and converting pixels in the color block to new positions to obtain a converted image; and identifying a difference area between the second right image and the converted image as an area.

Abstract: A method for determining ego-motion of a moving platform and a system thereof are provided. The method includes: using a first lens to capture a first and a second left image at a first and a second time, and using a second lens to capture a first and a second right image; segmenting the images into first left image areas, first right image areas, second left image areas, and second right image areas; comparing the first left image areas and the first right image areas, the second left image areas and the second right image areas, and the first right image areas and the second right image areas, so as to find plural common areas; selecting N feature points in the common areas to calculate depth information at the first and the second time, and determining the ego-motion of the moving platform between the first time and the second time.

Abstract: An automatic search system and a method for assisting a mobile apparatus to search for a matching device are provided. The automatic search method includes the following steps. First, N sets of consecutive images are captured at N time points respectively when the mobile apparatus moves along a first direction. The N is a positive integer greater than 1. Next, the N sets of consecutive images are received, and several image features of the N sets of images are compared, so as to determine accordingly whether the matching device exists in the first direction. If it is determined that the matching device exists, a route signal and an adjustment signal are generated. Next, according to the route signal, the mobile apparatus is controlled to move to an adjacent position of the matching device. Also, according to the adjustment signal, the mobile apparatus is controlled to be combined with the matching device.

Abstract: A q-space sampling method includes: (a) receiving a required sampling number and a range of sampling region in q-space set by a user; (b) obtaining a sampling interval by iteration using a regular non-rectangular sampling lattice when an actual sampling number converges to the required sampling number; and (c) obtaining positions of sampling data in q-space based on the sampling interval and the regular non-rectangular sampling lattice. A diffusion spectrum imaging method using the q-space sampling method is also disclosed.

Abstract: A q-space sampling method includes: (a) receiving a required sampling number and a range of sampling region in q-space set by a user; (b) obtaining a sampling interval by iteration using a regular non-rectangular sampling lattice when an actual sampling number converges to the required sampling number; and (c) obtaining positions of sampling data in q-space based on the sampling interval and the regular non-rectangular sampling lattice. A diffusion spectrum imaging method using the q-space sampling method is also disclosed.