Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.

Abstract: A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed.

Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.

Abstract: The present disclosure provides a line segment detection method, apparatus, device, and a computer-readable storage medium. Said method includes: extracting image features of an image to be processed, the image features including an image gradient angle and an image gradient amplitude; determining a plurality of seed points based on the extracted image features; for each seed point of the plurality of seed points, determining a current connected region of respective seed point according to a region growth rule, wherein the region growth rule needs to satisfy both a gradient amplitude growth rule and a gradient angle growth rule simultaneously; and performing line segment fitting on line segments within the current connected region of respective seed point.

Abstract: The present invention provides an age recognition method, a computer program and an electronic device. The method comprises: acquiring a face image to be recognized; extracting face characteristic points in the face image to be recognized, and characteristic point coordinates of the face characteristic points in the face image to be recognized; extracting face global features from the face image to be recognized according to the characteristic point coordinates; extracting face local features from the face image to be recognized according to the face characteristic points; and determining an age recognition result corresponding to the face image to be recognized according to the face global features, the face local features and an age recognition model obtained by pre-training.

Abstract: The present disclosure provides an age recognition method, a non-transitory computer-readable storage medium, and an electronic device. The method includes extracting feature points of a face in an image, preprocessing the image to extract global features of the face, extracting local features of the face based on the feature points, determining an age feature of the face according to the global features and the local features, and inputting the age feature into a pre-trained age recognition model to obtain an age value corresponding to the face in the image.

Abstract: The present disclosure provides an image processing method, device and apparatus, and a computer-readable storage medium. The image processing method includes: obtaining an image and detecting multiple targets in the image; obtaining categories of multiple detected targets and first parameters of a detection frame corresponding to each detected target, and ranking all detected targets according to the first parameters in a descending order to obtain a dataset; obtaining a target with a highest first parameter in the dataset as a first detected target, and detecting whether the first parameter of a first detection frame corresponding to the first detected target satisfies a preset category condition of a category to which the first detected target belongs; detecting whether the first detection frame corresponding to the first detected target overlaps with a detection frame corresponding to a respective one of the plurality of detected targets except the first detected target.

Abstract: A method of providing an indication as to the amount of milk remaining in a breast during lactation based on a determined fat content of milk that has been expressed from said breast is disclosed. The method of determining said fat content comprises measuring an optical characteristic of milk following expression and by comparing said measured optical characteristic with data representing a corresponding optical characteristic of a sample of milk having a known fat content to determine the fat content of said expressed milk which is indicative of the amount of milk remaining in the breast.

Abstract: The present invention is a method of shoot apical meristem transformation for dicot plant via sufficient and micro wounding (SMW). The technical process includes: germinate the seeds in Petri dish or in the nutrient matrix which can be transplanted with the seedling; expose the shoot apical meristem by removing one cotyledon away; make sufficient and micro wounding transformation treatment in vivo to the apical meristem by stabbing and brushing for 2-3 times using the SMW brush having 100-5000 bristles which is 4-20 ?m in diameter for each one and 0.

Abstract: The present invention is a method of shoot apical meristem transformation for monocot plant via sufficient and micro wounding (SMW). The technical process includes: expose the apical meristem by removing the coleoptile away when the shoot grows to 0.2-2 cm after 1-2 days of seed germination; make sufficient and micro wounding transformation to the apical meristem by stabbing and brushing for 2-3 times using the SMW brush having 100-5000 bristles which is 4-20 ?m in diameter for each one and 0.5-3 mm in exposed length, and dipped with the Agrobacterium tumefaciens containing binary vector harboring exogenous genes; develop the treated meristems directly to normal plants after co-cultivation; promote the plants to develop big spikes and set more seeds; harvest the seeds of T0 plants separately; detect and identify the transformation results in T1 generation which is bred from each individual T0 plant.

Abstract: A method of providing an indication as to the amount of milk remaining in a breast during lactation based on a determined fat content of milk that has been expressed from said breast is disclosed. The method of determining said fat content comprises measuring an optical characteristic of milk following expression and by comparing said measured optical characteristic with data representing a corresponding optical characteristic of a sample of milk having a known fat content to determine the fat content of said expressed milk which is indicative of the amount of milk remaining in the breast.

Abstract: A method and system for analyzing an object is provided in the present invention. The system comprises: a background arranged behind an object, wherein the color of the background is allowed to be selected from a set of colors; a first unit for setting a given color for the background so that the given color is different from the color of the object; a second unit for taking a picture including the object and the background; and a third unit for detecting at least one feature relating to the object according to the picture taken by said second unit. In the system, the color of the background is allowed to be set so as to be different from the color of the object. In this way, it is easy to distinguish the object part from the background part in the taken picture. This results in stable recognition for different objects, especially objects of different colors.

Abstract: A method and system for analyzing an object is provided in the present invention. The system comprises: a background arranged behind an object, wherein the color of the background is allowed to be selected from a set of colors; a first unit for setting a given color for the background so that the given color is different from the color of the object; a second unit for taking a picture including the object and the background; and a third unit for detecting at least one feature relating to the object according to the picture taken by said second unit. In the system, the color of the background is allowed to be set so as to be different from the color of the object. In this way, it is easy to distinguish the object part from the background part in the taken picture. This results in stable recognition for different objects, especially objects of different colors.

Abstract: The present invention provides a complete solution for accessing an exercise or training program quickly and easily (e.g. with just one or a few button pushes on a remote control) at anytime while watching TV.