| 1. | We have tested wavelet transform and spiht coding based still image compression method
用小波分解和spiht编码方法进行单帧图像压缩。 |
| 2. | Research on detection algorithm of dim point - targets in infrared image based on tms320dm642 processing platform
642红外图像弱小目标单帧提取算法研究 |
| 3. | We have applied wavelet transform and spiht coding based still image compressing programs on tms320c6701 for hardware real - time compression
在tms320c6701评估板上用小波分解和spiht单帧图像进行实时压缩。 |
| 4. | Presently , in the field of impurity detection in liquid , most research is limited to single frame image . that cannot get good result
目前,对于液体中的杂质检测,大多研究只限于单帧图像,漏检率高,难于获得较好的效果。 |
| 5. | The other aims at one image . using the mathematic morphology algorithm , the background rejection can be realized and the image mainly including the small target can be obtained
第二种情况是针对单帧图像，采用数学形态学抑制背景，得到保留小目标的图像。 |
| 6. | We have done the following work : we have designed wavelet transform and zero - tree coding based still image compressing / decompressing programs in matlab environment
课题进行了以下的工作：编制出了在matlab下运行的基于小波分解和零树编码的单帧图像压缩解压程序。 |
| 7. | Work over caption detection technology in single frame video image , design a text detection algorithm and testify the effectivity using a judgement model
研究了单帧视频图像中的字幕探测技术。提出了字幕位置探测算法，并提出了字幕探测算法效果判定模型，对算法的效果进行了检验。 |
| 8. | In this paper , a single - frame fringe analysis method is presented , in which subdivided fringe is modeled by linear phase and the coefficients are extracted by complex wavelet transform ( cwt )
摘要本文提出了利用复数小波变换对干涉图象相位进行分块线性拟合的一种新颖的单帧干涉图象分析方法。 |
| 9. | The last target detection technology discussed in the dissertation based on a single frame greatly improves the fast target discovering ability of the system , and indicates the location of the target as well
论文研究了单帧亚图像快速目标检测技术，该技术能大大提高系统快速发现目标的能力，给出目标方位。 |
| 10. | As experimentresults show , this algorithm is accurate and reliable ; its resolution ration is obviously better thanone pixel ; and it needs only 35 . 8ms to handle one frame ; so it can meet the demand of imagepickup system on vehicle
结果表明,该算法准确可靠,其分辨率明显优于一个像素,且处理单帧图像仅需要35 . 8毫秒,能满足车载摄像系统的要求。 |
