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It is at the stage of selecting the primitive components that the author of the medical image understanding method described in this chapter must, for the first time (although not for the last time), cooperate closely with a team of experienced medical doctors These experienced diagnosis experts are the only people competent to tell which features of the analyzed contour of a selected organ part are connected with some stages of natural diagnostic reasoning The role of the producers of the optimum set of letters of the created grammar is strictly divided: a doctor can (and should!) focus his/her attention on the largest number of details possible, treating every image discussed here as a totally new, separate case.



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Here is what you have to do to get your Lexmark fully functional: go on the ... bottom of the page you will see the section RECOMMENDED DOWNLOADS; go on and click on the "Complete drivers and software for setting up, ...

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To determine the overall volume the microphone is currently detecting, use the activityLevel accessor. Complete silence is an activity value of 0, and peak volume registers a 100. Use the gain setting to make sure audio peaks don t get clipped over 100; Example 33-3 shows one approach. You can also be noti ed of microphone activity by subscribing to the ActivityEvent.ACTIVITY event. The activating Boolean property of the event object tells you if activity is beginning (true) or ending. Activity refers to a duration of noise of a certain volume. For example, in creating a chat or broadcast application, when no one is talking, bandwidth can be saved because there is no need to send data. This information can also be used for visual feedback so that users know they (or others) are silent.





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Microphone de nes a read-only silenceLevel property that reports what the silence level of the microphone is. This can be set using setSilenceLevel(), which sets the minimum input level

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that should be considered activity and (optionally) the duration of silence necessary before activity is considered over. Silence values correspond directly to activity values. After gain is calibrated appropriately, any noise quieter than silenceLevel is not considered audio activity. This method is similar in purpose to Camera.setMotionLevel(); both methods specify when the activity event is dispatched. However, these methods have a signi cantly different impact on publishing streams:

stream is considered silent, no audio data is sent. Instead, a single message is sent, indicating that silence has started.

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A computer scientist must try to integrate and generalize the detailed information in such a way that the result is a maximally compact set of as few primitive components as possible; the components must allow the building of a computationally effective graph grammar [12,31] To use a concrete example, we should state that in the tasks selected and discussed here, there was a need to determine primitive components which allowed the description of pathological deformations, ie which edges of the analyzed structures should appear on the obtained width profiles In accordance with the opinions of doctors with whom we consulted, shape features important for diagnostics are: pathological stenoses or dilations of the examined vessels and local changes of their contour, such as side ramifications and cysts.

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The Speex codec can recognize characteristics of voice and use its own heuristics to determine activity. To use voice-based activity instead of levels-based activity, follow these steps:

1. Set the codec to SoundCodec.SPEEX. 2. Enable voice activity detection by setting enableVAD to true. 3. Set the silence level to 0 with setSilenceLevel(). This lets Speex do its job instead.

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With Flash Player 10.1 and later, you can get raw audio samples from the Microphone. Voice recognition is an obvious application; Didier Brun of http://bytearray.org was rst out of the gate to develop such an application. See his original post at http://bit.ly/bytearray-voice-gesture. Capturing audio from a Microphone is similar to dynamically sending audio to a Sound object. Simply subscribe to the Microphone s SampleDataEvent.SAMPLE_DATA event. The audio data is stored as a sequence of samples, each with a oating-point amplitude between 1 and 1. If you want frequencies instead, you have to do the Fourier transform yourself unless you want to mute all other sounds, set up a loopback, and use the SoundMixer s computeSpectrum() method. See 31 for more information about sound data. Example 33-4 draws the audio data to the screen in the simplest way possible.

EXAMPLE 33-4

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