Posts Tagged ‘edge detection’:

Statistics on the Number of People Indoor Based on Digital Image Processing

Counting the number of people in the Intercepted images from the video is a difficult and front subject in the field of image processing, It has high practical value in traffic monitoring, traffic statistics, virtual reality, intelligent building video surveillance and other fields. In this paper, we regard the “people ” from the video image

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Research on an Edge Detection and Tracking Algorithm Based on Wavelet Transform

Edge is a composition of the high-frequency energy in the image,which is also the most important features of the image. In the visual interpretation of the image or the computer automatic identification, to analysis and perceive objects profile is an important means or process. Then, image edge extraction has become the hot issues in machine

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Statistics on the Number of People Indoor Based on Digital Image Processing

Counting the number of people in the Intercepted images from the video is a difficult and front subject in the field of image processing, It has high practical value in traffic monitoring, traffic statistics, virtual reality, intelligent building video surveillance and other fields. In this paper, we regard the “people ” from the video image

(Read More…)

Research on Dairy Cow Insurance by Digital Image Analysis and Recognition Technology

This article is based on the agricultural insurance, research on the edge extraction technology of dairy cows’back image. When get cover for the dairy cows, we can gathering cows’images, then extract the images’feature, if the insured dairy cow was dead or ill, we can distinguish it from the others. Because of the biological characteristics of

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Research on Fast Processing Method for Color Images of Foreign Fibers in Cotton

Aimed at online recognition of foreign fibers in lint, a fast processing method for foreign fibers in cotton was proposed. Automated visual inspection and image processing are main techniques used in this research. The main research works are as follows:(1) Edge detection method for color images of foreign fibers in cotton. A new edge detection

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Forest Edge Detection Based on High Spatial Resolution Remote Sensing Imagery and Wavelet Analysis

As computers and the rapid development of information technology have been widely used in contour, feature extraction, texture analysis and other fields, edge detection becomes an important image processing technology. .The wavelet analysis used in signal processing and image processing is a research hotspot in recent years because of its unique advantages in multi-resolution analysis

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Research on Fast Processing Method for Color Images of Foreign Fibers in Cotton

Aimed at online recognition of foreign fibers in lint, a fast processing method for foreign fibers in cotton was proposed. Automated visual inspection and image processing are main techniques used in this research. The main research works are as follows:(1) Edge detection method for color images of foreign fibers in cotton. A new edge detection

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Measurment Technology Research on Large-Scale Workpiece Based on Mobile Vision

The three-dimensional measurement and reconstruction technique of large-sized workpiece has the vital significance in large equipment manufacturing industry. At present the demand of the measurement precision is higher and higher. The traditional method has failed to meet the current requirements. Based on the mobile vision,This paper proposes a mobile vision measurement system worked for Large-sized

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The Design and Implementation of Simple Transparent Digital Mark Erasing Model

Nowadays, the image has become a main medium for information exchange. Sometimes the pretreatment is needed before sharing images with some specific objectives, and to remove objects from the target image is a common image pretreatment job.In this paper , some image processing algorithms are widely used to solve the simple digital mark erasing problem

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Image Edge Detection Based on B-spline Wavelet Transform

One of the most basic features of the image is edge, which contains a majority of information. How to improve the accuracy, the integrity and the antinoise ability are classic problems in edge detection. In this paper, the Cubic B-spline wavelet transform and its application in edge detection were studied, and some improvements were made.

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