Medical image processing using MATLAB is used in medical field. The recently many technologies are used for the diagnosis of eye diseases like conjunctivitis to observe infection on eye. This paper Digital image processing (DIP) is applied for manual judgment by doctors to get better & fast result. The diagnosis of “Intensity of redness of pink Eye” i.e. “Conjunctivitis”; by identifying the reg...

Various experiments from literature suggest that in statistical machine translation (SMT), applying either pre-processing or post-processing to morphologically rich languages leads to better translation quality. In this work, we focus on the English-Tamil language pair. We implement suffix-separation rules for both of the languages and evaluate the impact of this preprocessing on translation qu...

This paper dicusses the specific technical features and processing steps of the multimodal data collection in the SmartKom project . It gives an overview of the goals of the project and the requirements to the multimodal corpus. The processing steps from the data recording to the final distribution of the data are detailed. We focus on the problem of recording temporal synchronous data from dif...

This paper dicusses the specific technical features and processing steps of the multimodal data collection in the SmartKom project . It gives an overview of the goals of the project and the requirements to the multimodal corpus. The processing steps from the data recording to the final distribution of the data are detailed. We focus on the problem of recording temporal synchronous data from dif...

In this paper, we designed the image processing algorithm, which inspects fault of the parts using morphology operator. Input is images of parts and process image registration, and then calculates binary erosion and dilation operator. Compared dilation values and separate into good or error parts of the automobile. The performance of the designed image processing algorithm was verified by perfo...

Accurate and efficient segmentation of the hippocampus from brain images is a challenging issue. Although experienced anatomic tracers can be reliable, manual segmentation is a time consuming process and may not be feasible for large-scale neuroimaging studies. In this article, we compare an automated method, FreeSurfer (V4), with a published manual protocol on the determination of hippocampal ...

Adhoc topics were processed at GE using both automatic and manual topic expansion. We used the interactive Query Expansion Tool to expand topics with automatically generated summaries of top 30 documents retrieved by the original topic. Manual intervention was restricted to accept/reject decisions on summaries. We observed time limit of 10 minutes per topic. Automatic topics expansion was done ...

The grading of farmed animal carcasses depends on the content of lean meat, fat and bone. Current imaging technologies are able to detect and represent carcass composition in images. To extract information from these images, specialized image processing techniques are required. In this paper, we propose a new segmentation method to accurately separate lean meat, fat and bone from a set of image...

We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assumption that the distribution of words in the input and an informative summary of that input should be similar to each other. Results on a large scale evaluation from the Text Analysis Conference show that input-summary...

NLP tools are typically trained on written data from native speakers. However, research into language acquisition and tools for language teaching & proficiency assessment would benefit from accurate processing of spoken data from second language learners. In this paper we discuss manual annotation schemes for various features of spoken language; we also evaluate the automatic tagging of one par...