Supervised geodesic propagation for semantic label transfer

Abstract. In this paper we propose a novel semantic label transfer method using supervised geodesic propagation (SGP). We use supervised learning to guide the seed selection and the label propagation. Given an input image, we first retrieve its similar image set from annotated databases. A Joint Boost model is learned on the similar image set of the input image. Then the recognition proposal map of the input image is inferred by this learned model. The initial distance map is defined by the proposal map: the higher probability, the smaller distance. In each iteration step of the geodesic propagation, the seed is selected as the one with the smallest distance from the undetermined superpixels. We learn a classifier as an indicator to indicate whether to propagate labels between two neighboring superpixels. The training samples of the indicator are annotated neighboring pairs from the similar image set. The geodesic distances of its neighbors are updated according to the combination of the texture and boundary features and the indication value. Experiments on three datasets show that our method outperforms the traditional learning based methods and the previous label transfer method for the semantic segmentation work

How Does Farmland Tenure Security Affect Rural Household Income? Empirical Evidence of China’s Survey Data

A stable farmland tenure can optimize farmers’ allocation of production factors and then determine the income level and structure of farmers. In recent years, the reform of China’s farmland tenure system had been making efforts to strengthen the stability of farmland tenures. Will the farmland tenure security restrict agricultural development? Based on the data of the 2018 China Labor Dynamics Survey (CLDS), this paper empirically analyzes the impact of farmland tenure stability on rural household income and its mechanism. The results showed that the stability of land rights increased the per capita total income, wage income and agricultural productive income of farmers significantly. The stability of the farmland tenure significantly increased the income of rural households in plain areas and the income of rural households in villages with highly mechanied; additionally, employment opportunities increased significantly. The mechanism analysis showed that the stability of the farmland tenure had a significant positive effect on the total income of farmers by promoting the division of labor and agricultural investment. On this basis, this paper puts forward measures such as strictly controlling the readjustment of agricultural land, improving the rural labor market and financial market, and guiding nonplain areas to develop tertiary industry according to local conditions

Partial similarity based nonparametric scene parsing in certain environment

In this paper we propose a novel nonparametric image parsing method for the image parsing problem in certain environment. A novel and efficient nearest neighbor matching scheme, the ANN bilateral matching scheme, is proposed. Based on the proposed matching scheme, we first retrieve some partially similar images for each given test image from the training image database. The test image can be well explained by these retrieved images, with similar regions existing in the retrieved images for each region in the test image. Then, we match the test image to the retrieved training images with the ANN bilateral matching scheme, and parse the test image by integrating multiple cues in a markov random field. Experiment on three datasets shows our method achieved promising parsing accuracy and outperformed two state-of-the-art nonparametric image parsing methods

Optimizing neighborhood projection with relaxation factor for inextensible cloth simulation

In this paper, we propose a novel method for inextensible cloth simulation. Our method introduces a neighborhood projection optimized with a relaxation factor. The neighborhood projection enforces inextensibility by modifying particle positions with a Jacobi-style iteration, leading to conservation of linear and angular quasi momenta. The relaxation factor is estimated according to the corrections and constraints, and is used to scale the corrections while keeping convergence to a smaller number of iterations. Experimental results demonstrate that our method increases the simulation efficiency, and stably handles inextensible cloth even in overconstrained situations. In addition to the simulation of hanging cloth and draping cloth, the simulated umbrella demonstrates the characters of our method for this type of objects

Total Variation Weighted Low-Rank Constraint for Infrared Dim Small Target Detection

Infrared dim small target detection is the critical technology in the situational awareness field currently. The detection algorithm of the infrared patch image (IPI) model combined with the total variation term is a recent research hotspot in this field, but there is an obvious staircase effect in target detection, which reduces the detection accuracy to some extent. This paper further investigates the problem of accurate detection of infrared dim small targets and a novel method based on total variation weighted low-rank constraint (TVWLR) is proposed. According to the overlapping edge information of image background structure characteristics, the weights of constraint low-rank items are adaptively determined to effectively suppress the staircase effect and enhance the details. Moreover, an optimization algorithm combined with the augmented Lagrange multiplier method is proposed to solve the established TVWLR model. Finally, the experimental results of multiple sequence images indicate that the proposed algorithm has obvious improvements in detection accuracy, including receiver operating characteristic (ROC) curve, background suppression factor (BSF) and signal-to-clutter ratio gain (SCRG). Furthermore, the proposed method has stronger robustness under complex background conditions such as buildings and trees

Total Variation Weighted Low-Rank Constraint for Infrared Dim Small Target Detection

Infrared dim small target detection is the critical technology in the situational awareness field currently. The detection algorithm of the infrared patch image (IPI) model combined with the total variation term is a recent research hotspot in this field, but there is an obvious staircase effect in target detection, which reduces the detection accuracy to some extent. This paper further investigates the problem of accurate detection of infrared dim small targets and a novel method based on total variation weighted low-rank constraint (TVWLR) is proposed. According to the overlapping edge information of image background structure characteristics, the weights of constraint low-rank items are adaptively determined to effectively suppress the staircase effect and enhance the details. Moreover, an optimization algorithm combined with the augmented Lagrange multiplier method is proposed to solve the established TVWLR model. Finally, the experimental results of multiple sequence images indicate that the proposed algorithm has obvious improvements in detection accuracy, including receiver operating characteristic (ROC) curve, background suppression factor (BSF) and signal-to-clutter ratio gain (SCRG). Furthermore, the proposed method has stronger robustness under complex background conditions such as buildings and trees

Simultaneous Optimization for Ultrasound-Assisted Extraction and Antioxidant Activity of Flavonoids from Sophora flavescens Using Response Surface Methodology

The ultrasonic-assisted extraction process and antioxidant activity of flavonoids from Sophora flavescens were investigated in this study. In order to optimize the extraction of flavonoids from Sophora flavescens, the influence of extraction time, methanol concentration, ultrasonic temperature, and solvent-to-material ratio was analyzed. Results showed that the extraction yields reached a maximum with the extraction time of 30 min, methanol concentration of 80%, temperature of 80 °C, and solvent-to-material ratio of 26 mL/g. The flavonoids were determined by HPLC, and the mean yields of trifolirhizin, formononetin, isoxanthohumol, maackiain, and kurarinone under the optimal conditions were 2.570, 0.213, 0.534, 0.797, and 3.091 mg/g, respectively. The evaluation of vitro antioxidant activity exhibited Sophora flavescens flavonoids had a strong 1,1-diphenyl-2-picrylhydrazyl (DPPH) and hydroxyl radical-scavenging ability with IC50 of 0.984 and 1.084 mg/g, respectively. These results indicate that ultrasonic-assisted extraction is an efficient approach for the selective extraction of flavonoids, and response surface methodology further optimized the extraction

A novel all-fiber magneto-optic switch based on high-speed magnetic field module - art no 67812Y

Conference Name:Conference on Passive Components and Fiber-Based Devices IV. Conference Address: Wuhan, PEOPLES R CHINA. Time:NOV 02-05, 2007.All-fiber magneto-optic switch is presented in this paper which contains both of optical route and high-speed magnetic field module. The optical route has a 1x2 Fiber Polarization Beam Splitter (FPBS) and a 2x2 Dual Fiber Polarization Beam Splitter (DFPBS). The high-speed magnetic field module is core of all-fiber magneto-optic switch which changes the electronic pulse into magnetic pulse to control the light polarization's plane based on Faraday Effect. The high-speed magnetic field module adopts Yttrium Iron Garnet (YIG) crystal fiber, nanosecond impulser and high-speed magnetic field, characterized by no moving parts, low transmission loss and polarization insensitive, low optical insertion loss etc. YIG crystal fiber, the magneto-optic material with high Verdet constant, used to rotate the polarization plane of the polarized light 90 degrees in all-fiber magneto-optic switch, is grown by Laser Heated Pedestal Growth (LHPG). CMOS chip FMMT415 which has good avalanche effect is employed to generate the nanosecond pulse. The pulse we measured is about 10 ns of the rising time and 0 similar to 600V of the amplitude and the output current is used to create the magnetic field. The obtained results indicate that the switch has a potential of low cross-talk, low insertion-loss and high switching speed. The optical route will be easily and quickly controlled by the means of nanosecond impulser, therefore, and the switching time is expected to less than I is