Posição do racemo e do fruto na qualidade fisiológica de sementes de mamona durante o armazenamento

The present research had as objective to evaluate the influence of raceme and fruit position on physiological quality of castor bean seeds (Ricinus communis L.) during storage of cultivar AL Guarany 2002. The treatments were: position of the raceme in plants (primary, secondary and tertiary) and position of fruit in racemes (low, medium and high). After fruit extraction, seeds were stored under environmental conditions for twelve months. The experimental design used was the completely randomized in a split-plot arrangement. Main plots consisted of the interaction raceme x fruit position and subplots were the storage time. Physiological quality was evaluated quarterly through tests of moisture content, germination and vigor (first count, accelerated aging, seedling length and seedling dry matter). Neither the position of racemes in the plant nor fruit in racemes does not affect germination of castor bean seeds. Dormancy of castor bean seeds decreases during storage, but also increases percentage of abnormal seedlings, seedling dry matter and root, hypocotyl and seedling total length.

Extração automatica de feições rodoviáris em imagens digitais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Extração automatica de segmentos lineares de rodovias em imagens de resoluções variadas

In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.