Analogic Corporation

Yesna Oyku Yildiz

Douglas Q Abraham

One or more techniques and/or systems for combining images of objects are disclosed where an image of a first object is to be inserted into an image of a second object in such a manner as to make the insertion substantially undetectable by a human observer of the combined image. An object generator generates a substantially artifact free image of a first object. An object locator orients the first object image according to a desired insertion point in a second object image. A forward projector converts the first object image into projection space data of the first object, and a combiner combines the first object projection space data with the second object projection space data. The combined projection space data is converted to image space data by a reconstructor, and the resulting combined image space data can be displayed on a monitor for human observation.

Image combining

One or more techniques and/or systems for detecting edges in images of objects subjected to imaging using imaging apparatus are disclosed, such that the effect of image noise on the edge detection can be mitigated. Ratios of intensity values (e.g., signal values) for a subject region (e.g., a pixel) and respective adjacent regions are determined. An adaptive threshold value is determined for respective adjacent region pairs. The ratio value is compared to the adaptive threshold value for respective adjacent region pairs, to determine whether an edge is present between the respective adjacent region pairs.

Edge detection

Techniques and systems for segmenting one or more objects in a subject image resulting from subjecting one or more objects to imaging using an imaging apparatus are disclosed, such that limitations of image noise, object proximity, image intensity variations, shape complexity, and/or computational resources may be mitigated. Merely border edges of objects in a subject image can be generated, for example, by using edge detection and discarding interior edges. Geometric difference values of the identified boundaries of the objects in the subject image can be calculated. One or more transitions between objects can be identified by using the geometric difference values, for example, which may result in data that represents a location in the image of an object to be segmented.

Image object separation

A system is described for correcting a switched input A/D converter circuit that performs a plurality of A/D conversions. The system includes an oversampling circuit, a switched input controller, separation circuitry, and a signal processing subsystem. The oversampling circuit is configured to convert one or more input analog signals into oversampled output signals. The switched input controller is configured to switch a separate calibration signal into the oversampling circuit, as a replacement for the input analog signal, for at least some of the A/D conversions. The separation circuitry is configured to separate the oversampled output signal from the calibration signal. The signal processing subsystem is configured to synchronously and separately process the oversampled output signal and the calibration signal so as to substantially reduce unwanted correlated response of the switched input A/D converter circuit.

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Ankara, Turkey

Yesna Oyku Yildiz