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    Image Acquisition in Digital Image Processing – Buzztech

    Image Acquisition using single, line and array sensor. Image acquisition is the action of retrieving an image from some source.

    Image Acquisition in Digital Image Processing

    Digital Image Processing

    In image processing, it is defined as the action of retrieving an image from some source, usually a hardware-based source for processing. It is the first step in the workflow sequence because, without an image, no processing is possible. The image that is acquired is completely unprocessed.

    Now the incoming energy is transformed into a voltage by the combination of input electrical power and sensor material that is responsive to a particular type of energy being detected. The output voltage waveform is the response of the sensor(s) and a digital quantity is obtained from each sensor by digitizing its response.

    Fig: Single image sensor

    Fig: Line sensor

    Fig: Array sensor

    Image Acquisition using a single sensor:

    Example of a single sensor is a photodiode. Now to obtain a two-dimensional image using a single sensor, the motion should be in both x and y directions.

    Rotation provides motion in one direction.

    Linear motion provides motion in the perpendicular direction.

    Fig: Combining a single sensor with motion to generate a 2D image

    This is an inexpensive method and we can obtain high-resolution images with high precision control. But the downside of this method is that it is slow.

    Image Acquisition using a line sensor (sensor strips):

    The sensor strip provides imaging in one direction.

    Motion perpendicular to the strip provides imaging in other direction.

    Fig: Linear sensor strip

    Image Acquisition using an array sensor:

    In this, individual sensors are arranged in the form of a 2-D array. This type of arrangement is found in digital cameras. e.g. CCD array

    In this, the response of each sensor is proportional to the integral of the light energy projected onto the surface of the sensor. Noise reduction is achieved by letting the sensor integrate the input light signal over minutes or ever hours.

    Advantage: Since sensor array is 2D, a complete image can be obtained by focusing the energy pattern onto the surface of the array.

    Fig: An example of digital image acquisition using array sensor

    The sensor array is coincident with the focal plane, it produces an output proportional to the integral of light received at each sensor.

    Digital and analog circuitry sweep these outputs and convert them to a video signal which is then digitized by another section of the imaging system. The output is a digital image.

    References: Digital Image Processing By Rafael C. Gonzalez, Richard Eugene Woods

    स्रोत : buzztech.in

    (DOC) IMAGE SENSING AND ACQUISITION

    IMAGE SENSING AND ACQUISITION

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    IMAGE SENSING AND ACQUISITION

    Yadav Yeshawant Chora

    Image sensing refers to sensing an analog image and giving it as input to the machine whereas image acquisition includes processing, compression, and finally storing of image into digital form.

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    Image sensing and Acquisition in Image Processing

    The types of images in which we are interested are generated by the combination of an “illumination” source and the reflection or absorption of energy from that source by the elements of the “scene” being imaged.

    Image sensing and Acquisition in Image Processing

    Rajiv Shah

    Sep 30, 2021

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    Image sensing and Acquisition

    The types of images in which we are interested are generated by the combination of an “illumination” source and the reflection or absorption of energy from that source by the elements of the “scene” being imaged.

    We enclose illumination and scene in quotes to emphasize the fact that they are considerably more general than the familiar situation in which a visible light source illuminates a common everyday 3-D (three-dimensional) scene.

    For example, the illumination may originate from a source of electromagnetic energy such as radar, infrared, or X-ray energy.

    But, as noted earlier, it could originate from less traditional sources, such as ultrasound or even a computer-generated illumination pattern. Similarly, the scene elements could be familiar objects, but they can just as easily be molecules, buried rock formations, or a human brain.

    We could even image a source, such as acquiring images of the sun. Depending on the nature of the source, illumination energy is reflected from, or transmitted through, objects. An example in the first category is light reflected from a planar surface. An example in the second category is when X-rays pass through a patient's body for the purpose of generating a diagnostic X-ray film.

    In some applications, the reflected or transmitted energy is focused onto a photo converter (e.g., a phosphor screen), which converts the energy into visible light. Electron microscopy and some applications of gamma imaging use this approach.

    The idea is simple: Incoming energy is transformed into a voltage by the combination of input electrical power and sensor material that is responsive to the particular type of energy being detected.

    The output voltage waveform is the response of the sensor(s), and a digital quantity is obtained from each sensor by digitizing its response. In this section, we look at the principal modalities for image sensing and generation.

    Fig: Single Image sensor

    Fig: Line Sensor

    Fig: Array sensor 

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