Dirk Vandenhirtz

The invention relates to a method for the determination of phytotoxicity of a test substance. Bioassays are known. For example, biological short-term tests are performed for germination and further growth of plants especially the root and the shoot to the cotyledon stage.
[0002]
Such bioassays are depending on the problem of determining the vitality of seeds, but particularly for integral detection of phyto / plant toxic effects of pure substances, mixtures and environmental samples… Show more

The invention relates to a method for the determination of phytotoxicity of a test substance. Bioassays are known. For example, biological short-term tests are performed for germination and further growth of plants especially the root and the shoot to the cotyledon stage.
[0002]
Such bioassays are depending on the problem of determining the vitality of seeds, but particularly for integral detection of phyto / plant toxic effects of pure substances, mixtures and environmental samples (water, water concentrates, soil, sediment, soil and Sedimenteluate and extracts, solids) were used.
[0003]
They allow the integral evaluation of introduced into the environment or there occurring substances with regard to possible potential hazards eg by pollution from the air and the rain forest areas. For potential pollutant mixtures with complex chemical analysis did not fully analyzable composition - such as sewage, landfill leachate flows, soil extracts especially from contaminated sites and their bioremediation products - products of combustion (flue gases) from the chemical industry, power generators and roads are integral effect test for ecotoxicological assessment indispensable.
[0004]
Bioassays can especially in modern pesticides occur (high efficiency at low application rate) complement and compete with the often difficult chemical analysis. Show less

The invention relates to a method for automatic scoring was an object, in particular a biological object such as a sheet, a stained bacterial culture, a recording of an area covered with plants and the like. based on an existing from a number of pixels digital recording of the object by dividing the pixels in pre-definable classes.
[0002]
Thus, the invention relates to automatic image processing, especially the segmentation of a digital image. Here, in general under a segmentation and… Show more

The invention relates to a method for automatic scoring was an object, in particular a biological object such as a sheet, a stained bacterial culture, a recording of an area covered with plants and the like. based on an existing from a number of pixels digital recording of the object by dividing the pixels in pre-definable classes.
[0002]
Thus, the invention relates to automatic image processing, especially the segmentation of a digital image. Here, in general under a segmentation and classification identification understood: each pixel of the digital image is associated with a one or multi-dimensional vector whose components can take discrete values ​​of a predetermined range of values, and represent a wide range depending on the image data. In the case of in connection with the here typically present application to be examined color image is each pixel of the image associated with an at least three-dimensional vector whose at least three components represent the proportions of the primary colors used on one screen to display the image, for example, so usually the red, green, and blue components of each pixel. All pixels are in the so-called spatial domain, thus forming a two-dimensional representation for the recording subject in terms of its topography (not necessarily in terms of color impression) to make it appear as well as a human observer.
[0003]
Segmentation of the digital image, a suitable feature space must now be defined depending on the task, within the particularly easily equivalence classes can be created, in which the pixels of the image to be segmented be classified. In order to arrive at a meaningful for humans statement or representation of the results, the elements of an equivalence class from the Feature in the spatial domain must be transformed back, ie so that it is clear to the viewer of the segmented image which areas of the image in as however defined way belong together. Show less