Connected components labeling is an important image segmentation technology. This paper briefly analyzed the disadvantages of some conventional and improved labeling algorithm based on pixels or run-lengths. Then an improved labeling algorithm based on searching at run-lengths table is roposed. The principle of the proposed algorithm was described and this algorithm implementation difficulties are also analyzed and overcome. Some simulations are conducted and the results show that the proposed connected labeling algorithm based on run-length table researching obviously improves efficiency of image segmentation.
IndexTerms--run-length, run-length table, connected components labeling, object segmentation, image processing.
Photoacoustic imaging has developed rapidly in recent years and can effectively detect tumors, and this paper p roposes a non-destructive photoacoustic imaging detection method suitable for uterine tumors based on delayed superposition algorithm. A three-dimensional model of the uterus was designed using Solidworks software and printed on a 3D printing device. Strong absorbers were placed in different parts of the model, the detection of tumors in different parts was simulated, the pulsed laser was transmitted to the uterus by hysteroscopy, and the ultrasound probe was used to receive ultrasound signals in vitro, and image reconstruction was carried out to verify the sustainability of subsequent experiments. The embryonic uterus was made by using a fresh pork belly to cover the uterus model, and the imitation uterus was imaged, and the optical absorption parameters of the tumor and normal uterine tissue were used to reconstruct the uterus image.Aiming at the blurring of the image caused by the noise brought in during data acquisition, the noise cancellation method is used to effectively solve this problem. Experiments have shown that the system can accurately detect the structural size and location depth of the simulated tumor.
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