CMOS resistive fuses for image smoothing and segmentation

Yu, P.C.; Decker, S.; Lee, H.-S.; Sodini, C.G.; Wyatt, John L.

doi:10.1109/4.126542

Cited by 52 publications

(19 citation statements)

References 9 publications

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“…Image edges influence the degree of smoothness by adjusting the conductance of the nonlinear resistors, whereas the reduced smoothness due to optical-flow discontinuity is a direct result of the nonlinearity of the resistors. Several nonlinear resistors can be found in the literature, such as horizontal resistance (HRes) [10], fuse [22], and tiny-tanh [23]. Before determining which kind of nonlinear resistor to use, we need to understand their effects on optical-flow computation.…”

Section: Nonlinear Resistive Networkmentioning

confidence: 99%

An analog motion field detection chip for image segmentation

Ming-Han

Chiueh

2002

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-In this paper, we propose an analog integrated circuit to compute the motion field of a time-varying image by means of a multiple-constraint method. The chip converts optical input to electrical form with an array of on-chip image sensors. A resistive network is used to smooth the input image. The spatial and temporal derivatives of the image are used to compute the optical-flow constraint. An array of motion cells enforce the optical-flow constraints, and two nonlinear resistive networks enforce the smoothness constraint over the optical-flow field. In order to preserve object boundaries, the smoothness constraint must be adjusted according to discontinuities in the optical-flow field and edges in the image. This is achieved by the nonlinear nature of the resistors and by adjusting the conductance of the resistors according to spatial gradients of image intensity. A 32 32 optical-flow based motion field detection chip is fabricated using a 0.5-m CMOS process. Measurement results show that the proposed IC can compute the optical-flow field in a scene efficiently and correctly so as to facilitate segmentation of moving objects in image sequences.

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Section: Nonlinear Resistive Networkmentioning

confidence: 99%

An analog motion field detection chip for image segmentation

Ming-Han

Chiueh

2002

IEEE Trans. Circuits Syst. Video Technol.

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“…For instance, signal processing such as K-winners-take-all, are suitable for 3D vision systems [53][54][55][56][57][58] and subpixel accuracy [59][60][61][62][63][64][65]. Smoothing [66], motion detection [67][68][69], programmable amplification, multiresolution imaging [70], video compression [71], dynamic range enhancement, discrete cosine transform (DCT), intensity sorting, etc. are other signal processing systems.…”

Section: Analog Signal Processingmentioning

confidence: 99%

Review of CMOS image sensors

Bigas

Cabruja

Salví

2006

Microelectronics Journal

498

230

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The role of CMOS Image Sensors since their birth around the 1960s, has been changing a lot. Unlike the past, current CMOS Image Sensors are becoming competitive with regard to Charged Couple Device (CCD) technology. They offer many advantages with respect to CCD, such as lower power consumption, lower voltage operation, on-chip functionality and lower cost. Nevertheless, they are still too noisy and less sensitive than CCDs.Noise and sensitivity are the key-factors to compete with industrial and scientific CCDs. It must be pointed out also that there are several kinds of CMOS Image sensors, each of them to satisfy the huge demand in different areas, such as Digital photography, industrial vision, medical and space applications, electrostatic sensing, automotive, instrumentation and 3D vision systems.In the wake of that, a lot of research has been carried out, focusing on problems to be solved such as sensitivity, noise, power consumption, voltage operation, speed imaging and dynamic range. In this paper, CMOS Image Sensors are reviewed, providing information on the latest advances achieved, their applications, the new challenges and their limitations. In conclusion, the State-of-the-art of CMOS Image Sensors. q

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“…However, most previous work such as edge detection [4], smoothing [5]- [7], and image compression [8] has focused on the spatial image computations after the image is formed. As such, these computations can be performed off-chip.…”

Section: Introductionmentioning

confidence: 99%

CCD-based range-finding sensor

Miyagawa

Kanade

1997

IEEE Trans. Electron Devices

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Abstract-Integration-time-based, time-domain computation provides an area-efficient way to process image information by directly handling photo-created charge during photo-sensing. We have fabricated and tested a CCD-based range-finding sensor which uses the time-of-flight method for range measurement. The sensor exploits two charge packets for light integration and detects the delay of the received light pulse relative to the transmitted light pulse. It has detected a 10 cm distance difference at the range of 150 cm in the dark background.

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CMOS resistive fuses for image smoothing and segmentation

Cited by 52 publications

References 9 publications

An analog motion field detection chip for image segmentation

An analog motion field detection chip for image segmentation

Review of CMOS image sensors

CCD-based range-finding sensor

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