Iterative thresholding using different criteria, bottom left elongation, top right volume and bottom right MSER. The contrast refers to the range of thresholds where the object exists, noise or very faint objects may have very low contrast as opposed to very contrasted object. The image can be **filtered** before thresholding with a 3D median filter with radii proportional to the minimal volume. In order not to test low thresholds you can specify to start with the mean value of the image as the lowest threshold or specify manually the lowest threshold to start with. Note that the more threshold tested the more memory used. For 16-bits images try Step with values between 5 and 100 depending on the dynamic of your data. Volume : a constant number of pixels between two thresholds using value thresholds.įor 8-bits images it is recommended to use the method Step with value between 1 and 5.Kmeans : histogram is analysed and clustered into value classes using a KMeans algorithm.Step : threshold are tested each step value.The thresholds tested can be tuned with 3 options with the value parameter : The other parameters are related to the minimal and maximal volumes of the objects. Edges : the threshold where the objects has maximal edges (see edge plugin).MSER : the threshold where the volume of the object is most stable (minimal variation).Volume : the threshold leading to the largest object.
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