Interior Space Design and Automatic Layout Method Based on CNN

Automatic MRI Prostate Segmentation based CNN-ASM

CNN-Based Automatic Urinary Particles Recognition

The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Manual urine sediment examination is labor-intensive, subjective and time-consuming, and the traditional automatic algorithms often extract the hand-crafted features for recognition. Instead of using the hand-crafted features, in this paper, we explo...

Multi-objective Design for Space Layout Topology

A novel method to produce space layout topologies for architectural design is described. From the uniformly distributed design solutions in the solution space the corresponding design requirements are computed according to a given norm and metric function. The system is based on graph representation of the layout so that the desired relations between the pairs of nodes are considered to be inde...

New Automatic Layout Method based on Magnetic Spring Model for Object Diagrams of OMT

We propose to apply Magnetic Spring Model for arranging object diagrams of OMT. The main characteristics of our automatic layout method are: efficient space utilization; arranging connected classes nearer to each other; and keeping the meaning of relationships in the diagram. We carried out experiments to compare the new method and the existing ones. In our layout method, most of the nodes are ...

Design of Cnn Filters in Log-polar Space

Cellular Neural Networks are very suitable to realize single-chip focal-plane image processing for artificial vision in the context of space-variant active vision. A new solution is presented for optical flow computation in continuous time, by a differential method based on the equation of continuity and the smoothness constraint.