Image segmentation is one of the most important steps before the image data analysis, which divided the image into several areas that have strong similarity. With the more and more widely application of the mesh fabric, the quality requirements are more stringent. As the impact of uneven illumination, the image brightness is inconsistent, which bring a great difficulty to the image segmentation...

Planetary rover should be designed so that it can travel on uneven terrains robustly under several limitations such as size, weight, costs, etc. However, it is difficult to get precise or whole terrain information beforehand to check the performance of the designed rover. In this paper, we propose a simulation model of uneven terrains based on fractional Brownian motions (fBm’s) for evaluating ...

We evaluated evenand uneven-aged silvicultural options for slash pine (Pinus elliottii Engelm.) using empirical data and the Forest Vegetation Simulator (FVS) model. Data were collected from a mature unthinned slash pine plantation in a flatwoods site in Florida, and used to simulate six scenarios of evenand uneven-aged silvicultural regimes applied to slash pine stands, including a no-action o...

Local thresholding methods for uneven lighting image segmentation always have the limitations that they are very sensitive to noise injection and that the performance relies largely upon the choice of the initial window size. This paper proposes a novel algorithm for segmenting uneven lighting images with strong noise injection based on non-local spatial information and intuitionistic fuzzy the...