2D to 3D Segmentation: Inclusion of Prior Information using Random Walk Kalman Filters

Author(s):  
Peter Somers ◽  
Johannes Schule ◽  
Cristina Tarin ◽  
Oliver Sawodny
2013 ◽  
Vol 416-417 ◽  
pp. 1346-1349
Author(s):  
Liang Xun Shuo ◽  
Yi Ying Chen ◽  
Ze Xing Zhang

Aiming at the problem that the stability of clustering recognition algorithm without any prior information is not enough and the network cluster extraction quality needs to be improved and so on, the original algorithm is improved from the following aspects: The choice of the destination vertex function is added in the random walk; use automatic step number detection method to cancel the original algorithm of random walk steps parameter; add weight of evaluation inter-cluster connection on the original based on cluster extraction conditions; realize the controllable particle size of cluster extraction by introducing the threshold parameter. The test results show that the improved algorithm in terms of anti-jamming in the stability and the clustering quality are higher than the original algorithm.


2011 ◽  
Vol 68 (10) ◽  
pp. 2264-2276 ◽  
Author(s):  
James T. Thorson

Abstract Thorson, J. T. 2011. Auxiliary and focal assessment models: a proof-of-concept involving time-varying catchability and fishery stock-status evaluation. – ICES Journal of Marine Science, 68: 2264–2276. Many assessment models evaluate stock status, and biases can arise when time-varying processes are modelled as being time-invariant. An “auxiliary/focal” assessment process is presented, where an “auxiliary” assessment model estimates functional parameters that are used in a “focal” assessment of stock status. This process is evaluated in two steps. First, estimates of density-dependent catchability from single- or multispecies auxiliary models are compared, confirming that multispecies auxiliary models are more accurate when catch-at-age data are abundant. Possible output from the multispecies auxiliary assessment is then used in a focal model, and the results are compared with four other methods: (i) assuming that catchability is constant, (ii) ignoring fishery-dependent indices, (iii) a random-walk catchability model, and (iv) estimating density-dependent catchability without prior information. Results show that the constant catchability model leads to non-conservative biases in stock-status estimates, and a random-walk model decreases bias and has high precision when age data are available. The auxiliary/focal procedure performs best when fishery indices are used without age data, and the density-dependent model without prior information performs well with fishery and survey indices, but without age data. Different methods are optimal, therefore, depending on data availability, and the auxiliary/focal assessment process performs best of the available methods when using just fishery-dependent indices.


Author(s):  
D. E. Johnson

Increased specimen penetration; the principle advantage of high voltage microscopy, is accompanied by an increased need to utilize information on three dimensional specimen structure available in the form of two dimensional projections (i.e. micrographs). We are engaged in a program to develop methods which allow the maximum use of information contained in a through tilt series of micrographs to determine three dimensional speciman structure.In general, we are dealing with structures lacking in symmetry and with projections available from only a limited span of angles (±60°). For these reasons, we must make maximum use of any prior information available about the specimen. To do this in the most efficient manner, we have concentrated on iterative, real space methods rather than Fourier methods of reconstruction. The particular iterative algorithm we have developed is given in detail in ref. 3. A block diagram of the complete reconstruction system is shown in fig. 1.


Author(s):  
Joseph Rudnick ◽  
George Gaspari
Keyword(s):  

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