&lt;title&gt;Digital JTC simulator for stereo vision system&lt;/title&gt;

Lee, Jae-Soo; Kim, Kyu-Tae; Lee, Yongbum; Kim, Eun-Soo

doi:10.1117/12.365837

Cited by 2 publications

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“…Since diatoms have a 3-D valve we are investigating fusion-based methods for combining dif-Once particles have been located, it is necessary to perform either an identification or a registration process. For the latter a comparison between two or more images is required (Lee et al, 1988;Lee et al, 1989;Lee et al, 1999;Smith & Nandhakumar, 1996;Voss et al, 1999;Yeshurun & Schwartz, 1989). The differences in rotation and scale are used in manual or automatic registration for comparison purposes or for 3D reconstruction.…”

Section: Multi-focus Fusion Techniquesmentioning

confidence: 99%

Automatic system for phytoplanktonic algae identification

Pech-Pacheco¹

2001

Limnetica

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We propose an automatic system for diatom localization and identification with a modular structure. The main contribution of this work is to provide a complete automatic system for the analysis of phytoplanktonic samples in brightfield microscopy. The overall procedure consists in two parts: first, frame gathering at low magnification and second, further analysis at higher magnification. At low magnification the goal is to obtain a panoramic overview of the full sample by tiling each frame. Subsequent processing steps will provide the localization and size of each particle in each frame for further analysis. The localization method based on image fusion techniques provides more robust and accurate particle detection than other methods reported in the literature. From the size information we obtain a useful cue about the objective to use. At higher magnification we developed new autofocusing techniques providing a fast and accurate focused image. Because particles present a volumetric structure, we propose the use of multifocus fusion techniques for merging in a single plane the focused parts from neighbouring the best focused image. Then we applied a particle selection analysis to reduce the number of images to analyze, i.e. to discriminate diatoms from debris . This is the most challenging step , due to large variability of shapes, diatom fragmentation, particle overpopulation and diatom hiding. The latter is not described in the present paper and will be the subject for a forthcoming publication. Finally, for diatom identification we use the scale transform technique and a cepstrum-based cross-correlation technique.

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Section: Multi-focus Fusion Techniquesmentioning

confidence: 99%

Automatic system for phytoplanktonic algae identification

Pech-Pacheco¹

2001

Limnetica

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<title>Power cepstral image analysis through the scale transform</title>

et al. 2000

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The detection of image changes irrespective on geometric transformations are required in many applications. In this paper we present a novel use of the scale transform oriented to image identification and registration. If we translate a signal then all the information appears in the phase of the Fourier transform of the translated signal. Similarly, if we scale or rotate an image all the information about the amount of scaling or rotation appear in the phase of the scale transform. In the present study we report a very precise image identification technique based on the use-of the power cepstrum of the scale transform. Cepstral filtering can be considered as a non-linear adaptive prefilter followed by an autocorrelation operation. The accuracy of the cepstrum techniques and the speed of the Fourier transform makes the present method faster and more robust to noise than other existing techniques. Image registration has been accomplished by computing the power cepstrum of the log-polar scale mapping. The performance of the improved method has been experimentally verified in a class of typed characters and diatom images in lighting microscopy.

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<title>Digital JTC simulator for stereo vision system</title>

Cited by 2 publications

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Automatic system for phytoplanktonic algae identification

Automatic system for phytoplanktonic algae identification

<title>Power cepstral image analysis through the scale transform</title>

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