Color Image Segmentation Thesis

Color Image Segmentation Thesis-46
The identification of fruits plays a key role in automatic packing.Not only is image segmentation basic of image processing which effects directly the performance of image recognition but also it is a difficulty for digital image processing.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.

The identification of fruits plays a key role in automatic packing.Not only is image segmentation basic of image processing which effects directly the performance of image recognition but also it is a difficulty for digital image processing.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.

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There is a clear absence of standardization and multi-colored, complex backgrounds are becoming more frequent in license plates.

Commercially available optical character recognition (OCR) systems generally fail when confronted with textured or poorly contrasted backgrounds, therefore creating the need for proper image segmentation prior to classification.

Finally, segmented image will be obtained through labeling the image by using methods of labeled image and using characteristic parameters for extracting feature. Lingwu long jujubes are important economical fruits in Ningxia.

By comparing the segmentation effect with artificial method of the 30 Lingwu long jujubes images, it proves that the color image segmentation method of Lingwu long jujubes based on the maximum entropy has good effect to extract the object region. To improve packing efficiency and reduce labor intensity, there is an increasing demand for automatic picking techniques.

Then, it extracts hue information of true color image and uses maximum entropy for image segmentation, judging accuracy of image segmentation by segmentation area whether it is in accordance with the 3σ principle.

Mathematical morphology is used for smoothing image and eliminating small holes.

License plate recognition/identification (LPR/I) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates.

In the United States, however, each state has its own standard-issue plates, plus several optional styles, which are referred to as special license plates or varieties.

The experiments show that the new proposed method performs faster than the existing implementation methods with about the same segmentation accuracy.

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