Global thresholding based on improved histogram for chalk area segmentation in rice quality evaluation

2020 ◽  
Author(s):  
Peerapat Itharat ◽  
Pakaket Wattuya ◽  
Tanee Sreewongchai ◽  
Chakrit Watcharopas
Keyword(s):  
Quality Evaluation ◽  
Rice Quality ◽  
Global Thresholding

Rice Kernel Separations Using Contour Analysis and Skeleton

2015 ◽  
Vol 781 ◽  
pp. 515-518
Author(s):  
Chaladchai Siriwongkul ◽  
Pattarawit Polpinit
Keyword(s):  
Quality Evaluation ◽  
Median Filter ◽  
Processing Method ◽  
Separation Process ◽  
Contour Analysis ◽  
Separation Algorithm ◽  
Rice Quality ◽  
Binary Images ◽  
Separation Line ◽  
Broken Rice

Determine the percentage of broken rice kernel is crucial for rice quality evaluation. This paper studies a digital image processing method that can effectively separate touching rice kernels in an image of rice used for quality evaluation. An alternative separation algorithm based on contour analysis and skeleton is proposed to separate touching rice kernels. The proposed algorithm can be divided into three parts, namely, pre-processing, obtaining the candidates for separation line endpoints, and analysis for separation process. In the pre-processing, the images are converted into grayscale images. Then the median filter is applied in order to remove noise. Finally the binary images are obtained using Otsu’s algorithm. The next step is to obtain the candidates for separation line endpoints from concave points on the contour of rice kernels. The final step is to draw a separation lines among the candidates using several categories based on concave analysis and skeleton. The experimental results show that the proposed algorithm can accurately separate touching rice kernels and as a result the accurate percentage of broken rice can be obtained.

Rice Quality Evaluation Using a Taste-Sensing System

2013 ◽  
pp. 127-141
Author(s):  
Uyen Tran ◽  
Ken’ichi Ohtsubo
Keyword(s):  
Quality Evaluation ◽  
Rice Quality ◽  
Sensing System

Lymph nodes detection and the mesorectal excision quality evaluation

2019 ◽  
Vol 98 (5) ◽  
pp. 200-206
Keyword(s):  
Lymph Nodes ◽  
Neoadjuvant Therapy ◽  
Quality Evaluation ◽  
Rectal Resection ◽  
Age Groups ◽  
Cooperative Groups ◽  
Mesorectal Excision ◽  
Proper Number ◽  
Before And After ◽  
And Gender

ntroduction: Detection and examination of proper number of lymph nodes in patients after rectal resection is important for next treatment and management of patients with rectal carcinoma. There are no clear guideliness for minimal count of lymph nodes, variant recommendations agree on the number of 12 (10−14) nodes. There are situations, when is not easy to reach this count, mainly in older age groups and in patients after neoadjuvant, especially radiation therapy. As a modality for improvement of lymph nodes harvesting seems to be establishing of defined protocols originally designed for mesorectal excision quality evaluation. Methods: The investigation group was formed by patients examined in 2 three-years intervals before and after implementation of the protocol. Elevation in count of harvested lymph nodes was rated generaly and in relation to age groups and gender. Results: The average count of lymph nodes increased from 10 to 15 nodes, in subset of patients whose received neoadjuvant therapy from 7 to al- most 14 nodes. The recommended number of lymph nodes was obtained in all investigated age groups. By the increased number of lymph nodes, rises also possibility of positive nodes found, that can lead to upstaging of the disease, in subset of patients whose received neoadjuvant therapy it is more than 4%. Conclusion: Our conclusions show, that forming of multidisciplinary cooperative groups (chiefly surgeon-pathologist), implementation of defined protocol of surgery, specimen manipulation and investigation by detached specialists lead to benefit consequences for further management and treatment of the patients with colorectal cancer.

Image quality evaluation of a small animal PET scanner

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Andréa Vidal Ferreira ◽  
Rodrigo Modesto Gadelha Gontijo ◽  
Guilherme Cavalcante de Albuquerque Souza ◽  
Bruno Melo Mendes ◽  
Juliana Batista da Silva ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Small Animal ◽  
Small Animal Pet ◽  
Image Quality Evaluation ◽  
Animal Pet

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