The inspection of lead-frame is important in semiconductor industry. During the production process, the quality control of lead-frame plays an important role. Here we introduce a method for inspection of contamination...
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ISBN:
(纸本)0780354060
The inspection of lead-frame is important in semiconductor industry. During the production process, the quality control of lead-frame plays an important role. Here we introduce a method for inspection of contamination and plating quality of lead frame. The basic method of segmentation of interested lead surface into five classes is discussed based on the samples supplied from IC manufacturing company. A two-stage inspection method is introduced based on the basic five classes. The discussion of the system realization and experimental results show the idea.
Popular methods for extracting a text region in video images are in general based on analysis of a whole image such as merge and split method, and comparison of two frames. Thus, they take long computing time due to t...
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ISBN:
(纸本)0780354060
Popular methods for extracting a text region in video images are in general based on analysis of a whole image such as merge and split method, and comparison of two frames. Thus, they take long computing time due to the use of a whole image. Therefore, this paper suggests the faster method of extracting a text region without processing a whole image. The proposed method uses line sampling methods, FFT and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 92% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image, and fast skipping of the images that do not contain a text.
Conventional caption extraction approaches often use a spatial variance method or a color reduction method such as color histogram and color quantization. These methods are time-consuming and restrict the colors for e...
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Conventional caption extraction approaches often use a spatial variance method or a color reduction method such as color histogram and color quantization. These methods are time-consuming and restrict the colors for extracting captions. In this paper we propose a method that extracts caption areas using TFs (topographical features) and isodata color clustering. After extracting TFs points using the topographical characteristics of characters, the isodata clustering method is used to cluster the similar colors. The point-line-region method is used to construct the blocks for each of the clustered groups. Constructed blocks are verified and candidate areas are decided. Caption regions are determined by testing several conditions and verifying those candidate areas. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98%.
Traditional character extraction methods use split-and-merge or color segmentation methods from the whole image. These methods do not reflect characteristics of characters such that character regions can be extracted ...
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ISBN:
(纸本)0780354060
Traditional character extraction methods use split-and-merge or color segmentation methods from the whole image. These methods do not reflect characteristics of characters such that character regions can be extracted incorrectly. In this paper, we use topographical features of characters to extract the character points and use the density of those points to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 99%. Non-character regions can exist within the extracted character regions which are removed using the Isodata color clustering method.
The draft international standard ITU-T H.263 is closely related to the well known and widely used ITU-T Recommendation H.261. However, H.263 does provide the same subjective image quality at less than half the bit-rat...
The draft international standard ITU-T H.263 is closely related to the well known and widely used ITU-T Recommendation H.261. However, H.263 does provide the same subjective image quality at less than half the bit-rate. In this paper we investigate to what extend single enhancements of H.263 contribute to this performance gain, and consider the trade-off quality vs. complexity. Based on typical test sequences, H.263 with its various modes is compared to H.261 on the basis of rate distortion curves at bit-rates up to 128 kbps. At 64 kbps, the performance gain of H.263 in its default mode compared to H.261 is approximately 2 dB. This improvement is achieved with only little increase of complexity, and is mainly due to more accurate motion compensation with half-pel accuracy. Considering the trade-off quality vs. complexity, the combination of the optional coding-modes "Advanced prediction mode" and "PB-frames mode" is a good compromise, resulting in an additional performance gain of 1.5 dB PSNR at 64 kbps. The "Syntax-based arithmetic coding mode" on the other hand, offers only a very small performance gain (0.1 dB at 64 kbps) for its increased computational complexity. Results from profiling an H.263 software codec are presented in order to support complexity considerations of the optional coding-modes.
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