摘要:
A system and method for counting follicular units using an automated system comprises acquiring an image of a body surface having skin and follicular units, filtering the image to remove skin components in the image, processing the resulted image to segment it, and filtering noise to eliminate all elements other than hair follicles of interest so that hair follicles in an area of interest can be counted. The system may comprise an image acquisition device and an image processor for performing the method. In another aspect, the system and method also classifies the follicular units based on the number of hairs in the follicular unit.
摘要:
A method for processing an image of a micro fluidic device. The method includes receiving a first image of a micro fluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the micro fluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space (520). Also, the method includes obtaining a third image based on at least information associated (540) with the transformed first image and the transformed second image, and processing the third image to obtain information (550) associated with the first state and the second state.
摘要:
A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is a novel is based on an extension of the well-known Sugeno Q-Measure.
摘要:
A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is a novel is based on an extension of the well-known Sugeno Q-Measure.
摘要:
A method for image stabilization of at least two digital images is disclosed. In such an embodiment, a first digital image having a plurality of pixels and at least a second image having a plurality of pixels are provided. Each pixel has an associated address for display and is representative of a color. Either a user of the system provides a color match range or the system provides a predetermined color matched range. A pixel is selected within the first digital image. Preferably the pixel is one that represents an item within the image that is either blurry due to movement of the item or appears jittery due to camera movement. Due to the vast number of available colors a pixel selected in a first image can be matched to a pixel in a second image within a range. The range allows for compensation due to lighting changes. Once the pixel in the first image is selected it can be compared to all pixels within the second image. Each pixel within the second image that is within the color match range is saved and the closest pixel color to the pixel from the first image is selected. The address of the pixels in the second image are then readdressed such that the address of the pixel located in the second image that has the closest color to the pixel in the first image now has the same display address as that of the pixel in the first image. The repositioned second digital image is then stored to memory.
摘要:
The invention relates to a method for qualitatively evaluating material with at least one identification characteristic whose position can vary within an expectation range designated by tolerance limits. The evaluation involves the use of at least one illuminating device, at least one photoelectric sensor and an evaluating device that interacts therewith. At least one background reference value and at least one mask reference are stored in the evaluating device, whereby the background reference value represents the characteristics of the printed image, particularly the gray scale value, in at least one portion of a surrounding area around the identification characteristic. In addition, the mask reference represents the geometrical contour of the identification characteristic and/or the relative arrangement of several identification characteristics among themselves. When inspecting the imprinted material, differential image data is formed, at least for the expectation range, from the actual image data and from the background reference value in the evaluating device. The actual position of the identification characteristic is subsequently derived in the evaluating device based on the comparison of the differential image data with the mask reference.
摘要:
A data encoder and method successively analyzes successively smaller blocks of a specified data array. Data blocks are analyzed in a predefined order, and corresponding entries identifying data blocks containing at least one non-zero value are stored in that same order in a list of blocks. Whenever a data block is processed, if the data block is entirely filled with zero data it is so identified in the output data (371) and no further processing of the subblock is required. Otherwise, if the size of the data block is greater than a predefined minimum block size (376) (e.g., 2 x 2), the block is divided into smaller data blocks and those smaller data blocks are put on the list of blocks for further processing. Finally, if the size of a data block that is being processed is the predefined minimum block size, values representing all the data items in that data block are written into the output data (396).
摘要:
Procédé de localisation et de reconnaissance automatique de données de quantité (10b) sur un document (10) par balayage du document pour localiser d'abord un symbole particulier, tel que le signe "$" (10a), ce signe localisé "$" étant utilisé pour déterminer la région du document (10b-1, 10b-2) contenant les données de quantité (10b) à reconnaître. Des éléments du symbole "$" et les caractères de quantité sont extraits d'une image de niveau de gris (Fig. 5) en utilisant des images binaires de valeur de départ et de masque (Fig. 7, 8 et 10, 11) de seuils différents de manière que des pixels noirs trouvés dans les images de valeur de départ des seuils les plus élevés se propagent dans l'image de masque de seuil inférieur pour former des composants reliés (Fig. 8, cc-1 et cc-2).
摘要:
A method and a system for recognizing the location of a cylindrical shaft is provided for use in positioning an end effector of an industrial robot which handles said shaft. In the method and system, a multilevel gray image of the cylindrical shaft which is generated by a charge coupled device (CCD) image sensor is first differentiated, and the absolute values of picture elements constituting the differentiated gray image are then binarized on the basis of a threshold value so as to extract an accentuated pattern image which is inherent to the shape of the cylindrical shaft. The accentuated pattern image thus extracted is then collated with a reference accentuated pattern image (template) so as to generate a normal curve signal which has its peak point at a position where the axis of said cylindrical shaft is located. The normal curve data is then binarized on the basis of another predetermined threshold value to generate a single strip image. The center of the single strip image is calculated to determine the location of the cylindrical shaft.
摘要:
Handwritten and typewritten characters read in one and the same process. In the first step, four interleaved images of the character are recorded in a memory (3). Then a preprocessor (4) determines the sort of characters either handwritten or typewritten, on the basis of their respective dimensions. Typewritten characters are enlarged so that they will be better readable owing to an enhanced scanning and stored in a buffer (10), the handwritten characters being first segmented by a geometric separator (9) before their storage in the buffer (10), next a circuit (5) derives the features irrespective of the sort of characters, after which the classification (in 11) takes place by means of learning means (12, 13) dependent on the sort of characters. A results combiner (20) resolves multiple recognitions by a feedback action to the buffer (10). An editing device (14) arranges the recognition result in the right format and a final comparator (15) compares the output of the character-reading device to the output of a manual key-entry device.