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- Li, Bo, 1982-, et al.
(författare)
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Distinctive curves : unified scale-invariant detection of edges, corners, lines and curves
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- This paper aims to broaden the scope of shape related features including edges, corners, lines and curves: 1) Edges, corners, lines, curves are all shape related features. In the past, the detection of each type of feature is usually solved independently under certain hypotheses. Our proposed distinctive curve detection method (DICU) solves the detection of all these type of features together. 2) Compared to the development in scale-invariant interest point detectors which have adopted more objective robustness measures using repeatability score, the research in line and curve features is still limited to “true/false positive” measures. DICU detection utilizes the scale-space concept and proves that curve features can be as robust as scale-invariant interest points. DICU has three advantages: 1) DICU outputs multi-type features which can benefit future computer vision applications. At the same time, the computational efficiency is unaffected, after detecting edges, only 5% additional computation is needed to detect corners, lines, and curves. 2) It is robust under various image perturbations and transformations and outperforms state-of-the-art interest point detectors and line detectors. At the same time, all types of detected features are robust. 3) Curve features contains more geometric information than points. Our curve matching test shows that curve matching can outperform interest point matching.
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| 2. |
- Li, Bo, 1982-, et al.
(författare)
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Fast edge filter and multi-scale edge detection
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The first step of efficient edge detection is to use a filter to detect intensity change. The filter size is a parameter which affects the edge detection result. A filter of large size is less sensitive to noise while a filter of small size is more accurate when locating edges. This gives the user a choice of choosing the proper filter size depending on the situation. A more stable edge detection approach is multi-scale edge detection, which detects gradients using several filter sizes. The time consumption of a conventional edge filter is usually or , where w is the width of the filter. Therefore, using filters of large size or multi-scale filters is not very efficient. We propose an efficient edge detection method with time consumption. It uses the center of mass concept and utilizes the power of integral images to achieve this efficiency. The results of our experiments show that the proposed edge detector is very stable and we also propose a simplified multi-scale edge detection scheme which can be used in practical operations.
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| 3. |
- Li, Bo, 1982-, et al.
(författare)
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Scale-invariant corner keypoints
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Effective and efficient generation of keypoints from images is the first step of many computer vision applications, such as object matching. The last decade presented us with an arms race toward faster and more robust keypoint detection, feature description and matching. This resulted in several new algorithms, for example Scale Invariant Features Transform (SIFT), Speed-up Robust Feature (SURF), Oriented FAST and Rotated BRIEF (ORB) and Binary Robust Invariant Scalable Keypoints (BRISK). The keypoint detection has been improved using various techniques in most of these algorithms. However, in the search for faster computing, the accuracy of the algorithms is decreasing. In this paper, we present SICK (Scale-Invariant Corner Keypoints), which is a novel method for fast keypoint detection. Our experiment results show that SICK is faster to compute and more robust than recent state-of-the-art methods.
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| 8. |
- Bergstrand, Jan, et al.
(författare)
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Super-resolution microscopy can identify specific protein distribution patterns in platelets incubated with cancer cells
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Protein contents in platelets are frequently changed upon tumor development and metastasis. However, how cancer cells can influence protein-selective redistribution and release within platelets, thereby promoting tumor development, remains largely elusive. With fluorescence-based super-resolution stimulated emission depletion (STED) imaging we reveal how specific proteins, implicated in tumor progression and metastasis, re-distribute within platelets, when subject to soluble activators (thrombin, adenosine-diphosphate and thromboxaneA2), and when incubated with cancer (MCF-7, MDA-MB-231, EFO21) or non-cancer cells (184A1, MCF10A). Upon cancer cell incubation, the cell-adhesion protein P-selectin was found to re-distribute into circular nano-structures, consistent with accumulation into the membrane of protein-storing alpha-granules within the platelets. These changes were to a significantly lesser extent, if at all, found in platelets incubated with normal cells, or in platelets subject to soluble platelet activators. From these patterns, we developed a classification procedure, whereby platelets exposed to cancer cells, to non-cancer cells, soluble activators as well as non-activated platelets all could be identified in an automatic, objective manner. We demonstrate that STED imaging, in contrast to electron and confocal microscopy, has the necessary spatial resolution and labelling efficiency to identify protein distribution patterns in platelets and can resolve how they specifically change upon different activations. Combined with image analyses of specific protein distribution patterns within the platelets, STED imaging can thus have a role in future platelet-based cancer diagnostics and therapeutic monitoring. The presented approach can also bring further clarity into fundamental mechanisms for cancer cell-platelet interactions, and into non-contact cell-to-cell interactions in general.
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| 10. |
- Ertoprak, Aysegul, et al.
(författare)
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Lifetime measurements of core-excited states in semi-magic 95Rh
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Lifetimes of negative-parity states have been determined in the semi-magic (N=50) nucleus 95Rh. The fusion-evaporation reaction 58Ni(40Ca, 3p) was used to populate high-spin states in 95Rh at the Grand Accelerateur National d'Ions Lourds (GANIL) accelerator facility. The results were obtained using the Doppler Shift Attenuation Method (DSAM) based on the Doppler broadened line shapes produced during the slowing down process of the residual nuclei in a thick 6~ mg/cm2 metallic target. B(M1) and B(E2) reduced transition strengths are compared with predictions from large-scale shell-model calculations.
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