Abstract. At present, the research on detection of lung cancer includes the sample image segmentation, extracting visual features of lung cancer and generating the classification model by training learning, then according to the classification model generated to classify the inspected images. But this kind of method usually needs a large amount of calculation and speed is slow. In order to find the region of interest as soon as possible and improve the detection speed, this paper attempts to introduce the current popular Itti visual attention model into the lung cancer detection. However, because medical images usually have low contrast, the Itti method is not directly applied to extract the region of interest in medical image. Therefore the selective visual attention mechanism combined with shape feature of target is proposed. Firstly some primary features are chosen, such as gray scale, direction, corner point and edge to generate saliency map, and then the significant regions are segmented and judged. Compared to popular lung cancer detection method, this method can improve the detection rate of suspected lung cancer and has great significance for the early detection, early diagnosis and treatment of lung cancer.
With the development of computer technology, people can obtain electronic images by a variety of means, but these images often need to obtain a panoramic view of a large field of view from multiple limited field of view images because the field of view is smaller than that of humans, and image stitching technology can be very good Solve the contradiction between vision and resolution. This paper studies the extraction and registration of image feature points and its related technologies, including image feature detection and extraction, point feature-based matching, and image fusion. According to the requirements of matching and image splicing, the feature points with good robustness to image deformation and occlusion are used as image features to indicate that it meets the requirements of image splicing registration. This paper studies and designs an improved algorithm to improve the accuracy of feature points extraction. Further research and analysis of the SIFT operator based on the characteristics of the invariant technology realize that the feature points extracted from the image can be used for reliable matching of an object or scene from different perspectives.
An urban economic space system consists of an interactional economic system and its carrier. Characterized by numerous elements, complex relations, and structural levels, this system is also composed of the following: industrialization, urbanization and its cooperative system, environmental restrictions, and other subsystems. Structural principle and interpretive structural modeling are employed to build an interpretive structural model of 36 elements distributed across 12 levels. The following relation, i.e., industrialization → urbanization → environmental restrictions, constitutes a core substructure that affects the cooperative degree of urbanization and industrialization.
Constructing a model of the technological industry value chain by the use of Potter's value chain theory, to reveal the realization mechanism of the value added of technology industry value chain. Describes the characteristics of technology industry value chain, analysis of the causes of the ‘Valley of Death’ and ‘Darwin Sea’ produced, then give suggestions to resolve these problems.
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